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ویرایش: [1st ed.] نویسندگان: Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger سری: Lecture Notes in Computer Science 11073 ISBN (شابک) : 9783030009366 ناشر: Springer International Publishing سال نشر: 2018 تعداد صفحات: XXX, 770 [785] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 132 Mb
در صورت تبدیل فایل کتاب Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب محاسبات تصویر پزشکی و مداخلات رایانه ای - MICCAI 2018: بیست و یکمین کنفرانس بین المللی ، گرانادا ، اسپانیا ، 16-20 سپتامبر 2018 ، مجموعه مقالات ، بخش چهارم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
مجموعه چهار جلدی LNCS 11070، 11071، 11072، و 11073 مجموعه مقالات داوری بیست و یکمین کنفرانس بین المللی محاسبات تصویر پزشکی و مداخله به کمک رایانه، MICCAI 2018، در سپتامبر، اسپانیا برگزار می شود. 2018.
373 مقاله کامل اصلاح شده ارائه شده با دقت بررسی و از بین 1068
مورد ارسالی در یک فرآیند بررسی دوسوکور انتخاب شدند. مقالات در
بخش های موضوعی زیر سازماندهی شده اند:
بخش اول: کیفیت تصویر و مصنوعات. روش های بازسازی تصویر؛
یادگیری ماشینی در تصویربرداری پزشکی؛ تجزیه و تحلیل آماری برای
تصویربرداری پزشکی; روش های ثبت تصویر
بخش دوم: کاربردهای اپتیکال و بافت شناسی: کاربردهای
تصویربرداری نوری. کاربردهای بافت شناسی; کاربردهای میکروسکوپی;
توموگرافی انسجام نوری و سایر کاربردهای تصویربرداری نوری.
کاربردهای قلب، قفسه سینه و شکم: کاربردهای تصویربرداری
قلب: کاربردهای تصویربرداری کولورکتال، کلیه و کبد. برنامه های
تصویربرداری ریه; برنامه های کاربردی تصویربرداری سینه; سایر
برنامه های کاربردی شکم
بخش سوم: تصویربرداری تانسور انتشار و MRI عملکردی:
تصویربرداری تانسور انتشار. تصویربرداری با وزن انتشار؛ MRI
عملکردی؛ ارتباط انسانی. روشهای تصویربرداری عصبی و تقسیم
بندی مغز: تصویربرداری عصبی. روشهای تقسیمبندی مغز.
بخش چهارم: مداخله به کمک رایانه: مداخلات و جراحی با
هدایت تصویر. برنامه ریزی جراحی، شبیه سازی و تجزیه و تحلیل
جریان کار. تجسم و واقعیت افزوده روشهای تقسیمبندی
تصویر: روشها، اقدامات و کاربردهای کلی تقسیمبندی تصویر.
تقسیم بندی چند اندامی؛ روش های تقسیم بندی شکم; روش های تقسیم
بندی قلب. قفسه سینه، ریه و ستون فقرات. سایر کاربردهای تقسیم
بندی
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018.
The 373 revised full papers presented were carefully reviewed
and selected from 1068 submissions in a double-blind review
process. The papers have been organized in the following
topical sections:
Part I: Image Quality and Artefacts; Image Reconstruction
Methods; Machine Learning in Medical Imaging; Statistical
Analysis for Medical Imaging; Image Registration
Methods.
Part II: Optical and Histology Applications: Optical
Imaging Applications; Histology Applications; Microscopy
Applications; Optical Coherence Tomography and Other Optical
Imaging Applications. Cardiac, Chest and Abdominal
Applications: Cardiac Imaging Applications: Colorectal,
Kidney and Liver Imaging Applications; Lung Imaging
Applications; Breast Imaging Applications; Other Abdominal
Applications.
Part III: Diffusion Tensor Imaging and Functional MRI:
Diffusion Tensor Imaging; Diffusion Weighted Imaging;
Functional MRI; Human Connectome. Neuroimaging and Brain
Segmentation Methods: Neuroimaging; Brain Segmentation
Methods.
Part IV: Computer Assisted Intervention: Image Guided
Interventions and Surgery; Surgical Planning, Simulation and
Work Flow Analysis; Visualization and Augmented Reality.
Image Segmentation Methods: General Image Segmentation
Methods, Measures and Applications; Multi-Organ Segmentation;
Abdominal Segmentation Methods; Cardiac Segmentation Methods;
Chest, Lung and Spine Segmentation; Other Segmentation
Applications.
Front Matter ....Pages I-XXX
Front Matter ....Pages 1-1
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning (Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin et al.)....Pages 3-11
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections (Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin)....Pages 12-20
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy (Shekoofeh Azizi, Pingkun Yan, Amir Tahmasebi, Peter Pinto, Bradford Wood, Jin Tae Kwak et al.)....Pages 21-29
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation (Jie Luo, Matthew Toews, Ines Machado, Sarah Frisken, Miaomiao Zhang, Frank Preiswerk et al.)....Pages 30-38
Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scans (Richard Modrzejewski, Toby Collins, Adrien Bartoli, Alexandre Hostettler, Jacques Marescaux)....Pages 39-46
Automatic Classification of Cochlear Implant Electrode Cavity Positioning (Jack H. Noble, Robert F. Labadie, Benoit M. Dawant)....Pages 47-54
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery (Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood et al.)....Pages 55-63
Endoscopic Navigation in the Absence of CT Imaging (Ayushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor)....Pages 64-71
A Novel Mixed Reality Navigation System for Laparoscopy Surgery (Jagadeesan Jayender, Brian Xavier, Franklin King, Ahmed Hosny, David Black, Steve Pieper et al.)....Pages 72-80
Respiratory Motion Modelling Using cGANs (Alina Giger, Robin Sandkühler, Christoph Jud, Grzegorz Bauman, Oliver Bieri, Rares Salomir et al.)....Pages 81-88
Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation (Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor)....Pages 89-97
DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures (Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand et al.)....Pages 98-106
Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions (Javad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor et al.)....Pages 107-115
Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model (Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier et al.)....Pages 116-124
Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament (Carolina Raposo, Cristóvão Sousa, Luis Ribeiro, Rui Melo, João P. Barreto, João Oliveira et al.)....Pages 125-133
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN (Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu)....Pages 134-142
Endoscopic Laser Surface Scanner for Minimally Invasive Abdominal Surgeries (Jordan Geurten, Wenyao Xia, Uditha Jayarathne, Terry M. Peters, Elvis C. S. Chen)....Pages 143-150
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging (Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen)....Pages 151-158
Towards a Fast and Safe LED-Based Photoacoustic Imaging Using Deep Convolutional Neural Network (Emran Mohammad Abu Anas, Haichong K. Zhang, Jin Kang, Emad M. Boctor)....Pages 159-167
An Open Framework Enabling Electromagnetic Tracking in Image-Guided Interventions (Herman Alexander Jaeger, Stephen Hinds, Pádraig Cantillon-Murphy)....Pages 168-175
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks (Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kasuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka et al.)....Pages 176-184
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework (Zhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li)....Pages 185-193
Front Matter ....Pages 195-195
A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science (Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru)....Pages 197-205
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis (William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury)....Pages 206-213
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks (Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller)....Pages 214-221
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture (Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann et al.)....Pages 222-229
Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation (Ehsan Golkar, Pramod P. Rao, Leo Joskowicz, Afshin Gangi, Caroline Essert)....Pages 230-237
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery (Alejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena, Vejay Vakharia, Roman Rodionov et al.)....Pages 238-246
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification (Daochang Liu, Tingting Jiang)....Pages 247-255
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks (Evangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin, Andrew Smith, Susan Wright, Danail Stoyanov)....Pages 256-264
DeepPhase: Surgical Phase Recognition in CATARACTS Videos (Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow et al.)....Pages 265-272
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy Using Deep Learning (Aneeq Zia, Andrew Hung, Irfan Essa, Anthony Jarc)....Pages 273-280
Unsupervised Learning for Surgical Motion by Learning to Predict the Future (Robert DiPietro, Gregory D. Hager)....Pages 281-288
Front Matter ....Pages 289-289
Volumetric Clipping Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding Organs (Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan)....Pages 291-298
Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery (Jonas Hajek, Mathias Unberath, Javad Fotouhi, Bastian Bier, Sing Chun Lee, Greg Osgood et al.)....Pages 299-306
Higher Order of Motion Magnification for Vessel Localisation in Surgical Video (Mirek Janatka, Ashwin Sridhar, John Kelly, Danail Stoyanov)....Pages 307-314
Simultaneous Surgical Visibility Assessment, Restoration, and Augmented Stereo Surface Reconstruction for Robotic Prostatectomy (Xiongbiao Luo, Ying Wan, Hui-Qing Zeng, Yingying Guo, Henry Chidozie Ewurum, Xiao-Bin Zhang et al.)....Pages 315-323
Real-Time Augmented Reality for Ear Surgery (Raabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli)....Pages 324-331
Framework for Fusion of Data- and Model-Based Approaches for Ultrasound Simulation (Christine Tanner, Rastislav Starkov, Michael Bajka, Orcun Goksel)....Pages 332-339
Front Matter ....Pages 341-341
Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network (Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok et al.)....Pages 343-351
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation (Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen)....Pages 352-360
Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images (Firat Ozdemir, Philipp Fuernstahl, Orcun Goksel)....Pages 361-369
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation (Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen)....Pages 370-378
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation (Meet P. Shah, S. N. Merchant, Suyash P. Awate)....Pages 379-387
How to Exploit Weaknesses in Biomedical Challenge Design and Organization (Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full et al.)....Pages 388-395
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST (Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao et al.)....Pages 396-404
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks (Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers)....Pages 405-413
Front Matter ....Pages 415-415
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation (Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi et al.)....Pages 417-425
3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation (Hideki Kakeya, Toshiyuki Okada, Yukio Oshiro)....Pages 426-433
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound (Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille)....Pages 434-442
Front Matter ....Pages 443-443
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net (Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille)....Pages 445-453
Segmentation of Renal Structures for Image-Guided Surgery (Junning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao)....Pages 454-462
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes (Ahmed Taha, Pechin Lo, Junning Li, Tao Zhao)....Pages 463-471
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma (Tianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou)....Pages 472-479
A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas Segmentation (Jingting Ma, Feng Lin, Stefan Wesarg, Marius Erdt)....Pages 480-487
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks (Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin et al.)....Pages 488-496
Generalizing Deep Models for Ultrasound Image Segmentation (Xin Yang, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li et al.)....Pages 497-505
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning (Eli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim U. Ahmed, Caroline Moore, Mark Emberton et al.)....Pages 506-514
Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation (Tom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle, Jürgen Weese)....Pages 515-522
Deep Attentional Features for Prostate Segmentation in Ultrasound (Yi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu, Xin Yang, Xuemiao Xu et al.)....Pages 523-530
Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy (Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger et al.)....Pages 531-539
Front Matter ....Pages 541-541
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation (Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris et al.)....Pages 543-551
Corners Detection for Bioresorbable Vascular Scaffolds Segmentation in IVOCT Images (Linlin Yao, Yihui Cao, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li et al.)....Pages 552-560
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation (Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He et al.)....Pages 561-568
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images (Zenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang et al.)....Pages 569-577
Real-Time Prediction of Segmentation Quality (Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung et al.)....Pages 578-585
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations (Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews et al.)....Pages 586-594
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension (Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou et al.)....Pages 595-603
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images (Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David Firmin et al.)....Pages 604-612
Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion (Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao)....Pages 613-621
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination (Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich et al.)....Pages 622-629
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound (Markus A. Degel, Nassir Navab, Shadi Albarqouni)....Pages 630-637
Front Matter ....Pages 639-639
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound (Na Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang et al.)....Pages 641-648
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior (Anjany Sekuboyina, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke et al.)....Pages 649-657
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation (M. Vakalopoulou, G. Chassagnon, N. Bus, R. Marini, E. I. Zacharaki, M.-P. Revel et al.)....Pages 658-666
CFCM: Segmentation via Coarse to Fine Context Memory (Fausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab)....Pages 667-674
Front Matter ....Pages 675-675
Pyramid-Based Fully Convolutional Networks for Cell Segmentation (Tianyi Zhao, Zhaozheng Yin)....Pages 677-685
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network (Erica M. Rutter, John H. Lagergren, Kevin B. Flores)....Pages 686-694
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net (Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li)....Pages 695-702
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint (Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant)....Pages 703-711
Automatic Teeth Segmentation in Panoramic X-Ray Images Using a Coupled Shape Model in Combination with a Neural Network (Andreas Wirtz, Sudesh Ganapati Mirashi, Stefan Wesarg)....Pages 712-719
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning (Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad et al.)....Pages 720-727
Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging (Diego Patiño, Jonathan Avendaño, John W. Branch)....Pages 728-736
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation (Zahra Mirikharaji, Ghassan Hamarneh)....Pages 737-745
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images (Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John Galeotti)....Pages 746-754
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes (Pengyue Zhang, Fusheng Wang, Yefeng Zheng)....Pages 755-763
Back Matter ....Pages 765-770