Abstract is missing.
- Bringing Open Data to Whole Slide ImagingSébastien Besson, Roger Leigh, Melissa Linkert, Chris Allan, Jean-Marie Burel, Mark Carroll, David Gault, Riad Gozim, Simon Li, Dominik Lindner, Josh Moore, William J. Moore, Petr Walczysko, Frances Wong, Jason R. Swedlow. 3-10 [doi]
- PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and ClassificationJevgenij Gamper, Navid Alemi Koohbanani, Ksenija Benet, Ali Khuram, Nasir M. Rajpoot. 11-19 [doi]
- Active Learning for Patch-Based Digital Pathology Using Convolutional Neural Networks to Reduce Annotation CostsJacob Carse, Stephen J. McKenna. 20-27 [doi]
- Patch Clustering for Representation of Histopathology ImagesWafa Chenni, Habib Herbi, Morteza Babaie, Hamid R. Tizhoosh. 28-37 [doi]
- Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept StudyMichael Gadermayr, Barbara Mara Klinkhammer, Peter Boor. 38-46 [doi]
- Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning ApproachAmal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman. 47-55 [doi]
- Evaluation of Colour Pre-processing on Patch-Based Classification of H&E-Stained ImagesFrancesco Bianconi, Jakob N. Kather, Constantino Carlos Reyes-Aldasoro. 56-64 [doi]
- Automated Segmentation of DCIS in Whole Slide ImagesNikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, Anne L. Martel. 67-74 [doi]
- A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained TissuesAmirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang. 75-82 [doi]
- Automatic Detection of Tumor Buds in Pan-Cytokeratin Stained Colorectal Cancer Sections by a Hybrid Image Analysis ApproachMatthias Bergler, Michaela Benz, David Rauber, David Hartmann, Malte Kötter, Markus Eckstein, Regine Schneider-Stock, Arndt Hartmann, Susanne Merkel, Volker Bruns, Thomas Wittenberg, Carol Geppert. 83-90 [doi]
- Improving Prostate Cancer Detection with Breast Histopathology ImagesUmair Akhtar Hasan Khan, Carolin Stürenberg, Oguzhan Gencoglu, Kevin Sandeman, Timo Heikkinen, Antti Rannikko, Tuomas Mirtti. 91-99 [doi]
- Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue NetJun Xu 0005, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang. 100-108 [doi]
- Rota-Net: Rotation Equivariant Network for Simultaneous Gland and Lumen Segmentation in Colon Histology ImagesSimon Graham, David B. A. Epstein, Nasir M. Rajpoot. 109-116 [doi]
- Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous TubuleJun Xu 0005, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu. 117-124 [doi]
- Deep Features for Tissue-Fold Detection in Histopathology ImagesMorteza Babaie, Hamid R. Tizhoosh. 125-132 [doi]
- A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide ImagesSantiago López-Tapia, José Aneiros-Fernández, Nicolás Pérez de la Blanca. 135-143 [doi]
- Improvement of Mitosis Detection Through the Combination of PHH3 and HE FeaturesSantiago López-Tapia, Cristobal Olivencia, José Aneiros-Fernández, Nicolás Pérez de la Blanca. 144-152 [doi]
- A New Paradigm of RNA-Signal Quantitation and Contextual Visualization for On-Slide Tissue AnalysisAuranuch Lorsakul, William Day. 153-162 [doi]
- Digital Tumor-Collagen Proximity Signature Predicts Survival in Diffuse Large B-Cell LymphomaTalha Qaiser, Matthew Pugh, Sandra Margielewska, Robert Hollows, Paul Murray, Nasir M. Rajpoot. 163-171 [doi]
- An Integrated Multi-scale Model for Breast Cancer Histopathological Image Classification Using CNN-Pooling and Color-Texture FeaturesVibha Gupta, Arnav Bhavsar. 172-180 [doi]
- Icytomine: A User-Friendly Tool for Integrating Workflows on Whole Slide ImagesDaniel Felipe Gonzalez Obando, Diana Mandache, Jean-Christophe Olivo-Marin, Vannary Meas-Yedid. 181-189 [doi]