Computational Pathology and Ophthalmic Medical Image Analysis

Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability.- Multi-Resolution Networks for Semantic Segmentation in Whole Slide Images.- Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network.- Construction of a Generative Model of H&E Stained Pathology Images of Pancreas Tumors Conditioned by a Voxel Value of MRI Image.- Accurate 3D reconstruction of a whole pancreatic cancer tumor from pathology images with different stains.- Role of Task Complexity and Training in Crowdsourced Image Annotation.- Capturing global spatial context for accurate cell classification in skin cancer histology.- Exploiting Multiple Color Representations to Improve Colon Cancer Detection in Whole Slide H&E Stains.- Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection.- Evaluating Out-of-the-box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow.- DeepCerv: Deep neural network for segmentation free robustcervical cell classification.- Whole slide image registration for the study of tumor heterogeneity.- Modality Conversion from Pathological Image to Ultrasonic Image Using Convolutional Neural Network.- Structure instance segmentation in renal tissue: a case study on tubular immune cell detection.- Cellular Community Detection for Tissue Phenotyping in Histology Images.- Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning.- Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.- Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content.- Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.- Ocular Structures Segmentation from Multi-sequences MRI using 3D Unet with Fully Connected CRFs.- Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN.- Segmentation of Corneal Nerves Using a