Accepted papers

Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability

Yusuf H. Roohani and Eric G. Kiss

Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images

Feng Gu, Nikolay Burlutskiy, Mats Andersson, and Lena Kajland Wilén

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network

Yongxiang Huang and Albert Chi-Shing Chung

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, and Hidekata Hontani

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, Kenoki Ohuchida, Makoto Hashizume, and Hidekata Hontani

Role of Task Complexity and Training in Crowdsourced Image Annotation

Nadine S. Schaadt, Anne Grote, Germain Forestier, Cedric Wemmert and Friedrich Feuerhake

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

Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains

Alex Skovsbo Jorgensen, Jonas Emborg, Rasmus Roge, and Lasse Riis Ostergaard

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkila, and Nasir Rajpoot

Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow

Philipp Grabel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brummendorf, and Dorit Merhof

DeepCerv: Deep neural network for segmentation free robust cervical cell classification

Nirmal Jith O.U, Harinarayanan K.K, Srishti Gautam, Arnav Bhavsar, and Anil K. Sao

Whole slide image registration for the study of tumor heterogeneity

Leslie Solorzano, Barbara Mesquita, Gabriela M. Almeida, Diana Martins, Carla Oliveira and Carolina Wahlby

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, Yasuo Iwadate, Hideaki Haneishi

Structure instance segmentation in renal tissue: a case study on tubular immune cell detection

Thomas de Bel, Meyke Hermsen, Geert Litjens and Jeroen van der Laak

Cellular Community Detection for Tissue Classification

Sajid Javed, MM Fraz, David Epstein, David Snead, and Nasir M. Rajpoot

Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning

John-Melle Bokhorst, Lucia Rijstenberg, Danny Goudkade, Iris Nagtegaal, Jeroen van der Laak, and Francesco Ciompi

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images

Navid Alemi Koohbanani, Talha Qaisar, Muhammad Shaban, Jevgenij Gamper, and Nasir Rajpoot

Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content

Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, and Henning Muller

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images

M.M.Fraz, M.Shaban, S.Graham, S.A.Khurram, N.M.Rajpoot