Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis

Chronic Lymphocytic Leukemia Progression Diagnosis with Intrinsic Cellular Patterns via Unsupervised Clustering

(2022) Pingjun Chen et al.   Cancers

Understanding deep learning (still) requires rethinking generalization

(2021) Chiyuan Zhang et al.   COMMUNICATIONS OF THE ACM

Data-efficient and weakly supervised computational pathology on whole-slide images

(2021) Ming Y. Lu et al.   Nature Biomedical Engineering

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification

(2021) Xi Wang et al.   MEDICAL IMAGE ANALYSIS

Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification

(2021) Niccolò Marini et al.   MEDICAL IMAGE ANALYSIS

Non-disruptive collagen characterization in clinical histopathology using cross-modality image synthesis

(2020) Adib Keikhosravi et al.   Communications Biology

Single image super-resolution for whole slide image using convolutional neural networks and self-supervised color normalization

(2020) Bin Li et al.   MEDICAL IMAGE ANALYSIS

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

(2019) Gabriele Campanella et al.   NATURE MEDICINE

Unsupervised Domain Adaptation for Classification of Histopathology Whole-Slide Images

(2019) Jian Ren et al.   Frontiers in Bioengineering and Biotechnology

An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis

(2019) Po-Hsuan Cameron Chen et al.   NATURE MEDICINE

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis

(2019) Xiaoshuang Shi et al.   MEDICAL IMAGE ANALYSIS

Histopathological Whole Slide Image Analysis Using Context-Based CBIR

(2018) Yushan Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

(2018) Mohammad Peikari et al.   Scientific Reports

Unsupervised Learning For Cell-level Visual Representation with Generative Adversarial Networks

(2018) Bo Hu et al.   IEEE Journal of Biomedical and Health Informatics

Gland segmentation in colon histology images: The glas challenge contest

(2017) Korsuk Sirinukunwattana et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks

(2017) Zhimin Gao et al.   IEEE Journal of Biomedical and Health Informatics

Classification of breast cancer histology images using Convolutional Neural Networks

(2017) Teresa Araújo et al.   PLoS One

Computer-aided diagnosis from weak supervision: A benchmarking study

(2015) Melih Kandemir et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Weakly supervised histopathology cancer image segmentation and classification

(2014) Yan Xu et al.   MEDICAL IMAGE ANALYSIS