Computational Pathology and Ophthalmic Medical Image Analysis: First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16 - 20, 2018, Proceedings

Front Matter ....Pages I-XVII
Front Matter ....Pages 1-1
 Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability  (Yusuf H. Roohani, Eric G. Kiss)....Pages 3-10
 Multi-resolution Networks for Semantic Segmentation in Whole Slide Images  (Feng Gu, Nikolay Burlutskiy, Mats Andersson, Lena Kajland Wilén)....Pages 11-18
 Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network  (Yongxiang Huang, Albert Chi-Shing Chung)....Pages 19-26
 Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image  (Tomoshige Shimomura, Kugler Mauricio, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume et al.)....Pages 27-34
 Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains  (Mauricio Kugler, Yushi Goto, Naoki Kawamura, Hirokazu Kobayashi, Tatsuya Yokota, Chika Iwamoto et al.)....Pages 35-43
 Role of Task Complexity and Training in Crowdsourced Image Annotation  (Nadine S. Schaadt, Anne Grote, Germain Forestier, Cédric Wemmert, Friedrich Feuerhake)....Pages 44-51
 Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology  (Konstantinos Zormpas-Petridis, Henrik Failmezger, Ioannis Roxanis, Matthew Blackledge, Yann Jamin, Yinyin Yuan)....Pages 52-60
 Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains  (Alex Skovsbo Jørgensen, Jonas Emborg, Rasmus Røge, Lasse Riis Østergaard)....Pages 61-68
 Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection  (Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir Rajpoot)....Pages 69-77
 Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow  (Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor et al.)....Pages 78-85
 DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification  (O. U. Nirmal Jith, K. K. Harinarayanan, Srishti Gautam, Arnav Bhavsar, Anil K. Sao)....Pages 86-94
 Whole Slide Image Registration for the Study of Tumor Heterogeneity  (Leslie Solorzano, Gabriela M. Almeida, Bárbara Mesquita, Diana Martins, Carla Oliveira, Carolina Wählby)....Pages 95-102
 Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network  (Takashi Ohnishi, Shu Kashio, Takuya Ogawa, Kazuyo Ito, Stanislav S. Makhanov, Tadashi Yamaguchi et al.)....Pages 103-111
 Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detection  (T. de Bel, M. Hermsen, G. Litjens, J. van der Laak)....Pages 112-119
 Cellular Community Detection for Tissue Phenotyping in Histology Images  (Sajid Javed, Muhammad Moazam Fraz, David Epstein, David Snead, Nasir M. Rajpoot)....Pages 120-129
 Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning  (John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, Francesco Ciompi)....Pages 130-138
 Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images  (Navid Alemi Koohbanani, Talha Qaisar, Muhammad Shaban, Jevgenij Gamper, Nasir Rajpoot)....Pages 139-147
 Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content  (Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller)....Pages 148-155
 Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images  (M. M. Fraz, M. Shaban, S. Graham, S. A. Khurram, N. M. Rajpoot)....Pages 156-164
Front Matter ....Pages 165-165
 Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs  (Huu-Giao Nguyen, Alessia Pica, Philippe Maeder, Ann Schalenbourg, Marta Peroni, Jan Hrbacek et al.)....Pages 167-175
 Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN  (Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung)....Pages 176-184
 Segmentation of Corneal Nerves Using a U-Net-Based Convolutional Neural Network  (Alessia Colonna, Fabio Scarpa, Alfredo Ruggeri)....Pages 185-192
 Automatic Pigmentation Grading of the Trabecular Meshwork in Gonioscopic Images  (Andrea De Giusti, Simone Pajaro, Masaki Tanito)....Pages 193-200
 Large Receptive Field Fully Convolutional Network for Semantic Segmentation of Retinal Vasculature in Fundus Images  (Gabriel Lepetit-Aimon, Renaud Duval, Farida Cheriet)....Pages 201-209
 Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming  (Yibiao Rong, Kai Yu, Dehui Xiang, Weifang Zhu, Zhun Fan, Xinjian Chen)....Pages 210-218
 Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images Using Bayesian Deep Learning  (Suman Sedai, Bhavna Antony, Dwarikanath Mahapatra, Rahil Garnavi)....Pages 219-227
 cGAN-Based Lacquer Cracks Segmentation in ICGA Image  (Hongjiu Jiang, Yuhui Ma, Weifang Zhu, Ying Fan, Yihong Hua, Qiuying Chen et al.)....Pages 228-235
 Localizing Optic Disc and Cup for Glaucoma Screening via Deep Object Detection Networks  (Xu Sun, Yanwu Xu, Mingkui Tan, Huazhu Fu, Wei Zhao, Tianyuan You et al.)....Pages 236-244
 Fundus Image Quality-Guided Diabetic Retinopathy Grading  (Kang Zhou, Zaiwang Gu, Annan Li, Jun Cheng, Shenghua Gao, Jiang Liu)....Pages 245-252
 DeepDisc: Optic Disc Segmentation Based on Atrous Convolution and Spatial Pyramid Pooling  (Zaiwang Gu, Peng Liu, Kang Zhou, Yuming Jiang, Haoyu Mao, Jun Cheng et al.)....Pages 253-260
 Large-Scale Left and Right Eye Classification in Retinal Images  (Peng Liu, Zaiwang Gu, Fan Liu, Yuming Jiang, Shanshan Jiang, Haoyu Mao et al.)....Pages 261-268
 Automatic Segmentation of Cortex and Nucleus in Anterior Segment OCT Images  (Pengshuai Yin, Mingkui Tan, Huaqing Min, Yanwu Xu, Guanghui Xu, Qingyao Wu et al.)....Pages 269-276
 Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography  (Samuel S. Johnson, Jui-Kai Wang, Mohammad Shafkat Islam, Matthew J. Thurtell, Randy H. Kardon, Mona K. Garvin)....Pages 277-284
 Visual Field Based Automatic Diagnosis of Glaucoma Using Deep Convolutional Neural Network  (Fei Li, Zhe Wang, Guoxiang Qu, Yu Qiao, Xiulan Zhang)....Pages 285-293
 Towards Standardization of Retinal Vascular Measurements: On the Effect of Image Centering  (Muthu Rama Krishnan Mookiah, Sarah McGrory, Stephen Hogg, Jackie Price, Rachel Forster, Thomas J. MacGillivray et al.)....Pages 294-302
 Feasibility Study of Subfoveal Choroidal Thickness Changes in Spectral-Domain Optical Coherence Tomography Measurements of Macular Telangiectasia Type 2  (Tiziano Ronchetti, Peter Maloca, Emanuel Ramos de Carvalho, Tjebo F. C. Heeren, Konstantinos Balaskas, Adnan Tufail et al.)....Pages 303-309
 Segmentation of Retinal Layers in OCT Images of the Mouse Eye Utilizing Polarization Contrast  (Marco Augustin, Danielle J. Harper, Conrad W. Merkle, Christoph K. Hitzenberger, Bernhard Baumann)....Pages 310-318
 Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation  (Oscar Perdomo, Vincent Andrearczyk, Fabrice Meriaudeau, Henning Müller, Fabio A. González)....Pages 319-327
 2D Modeling and Correction of Fan-Beam Scan Geometry in OCT  (Min Chen, James C. Gee, Jerry L. Prince, Geoffrey K. Aguirre)....Pages 328-335
 A Bottom-Up Saliency Estimation Approach for Neonatal Retinal Images  (Sharath M. Shankaranarayana, Keerthi Ram, Anand Vinekar, Kaushik Mitra, Mohanasankar Sivaprakasam)....Pages 336-343
Back Matter ....Pages 345-347