Coupling weak and strong supervision for classification of prostate cancer histopathology images

16 November 2018

Papers citing "Coupling weak and strong supervision for classification of prostate cancer histopathology images"

5 / 5 papers shown

Title
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images Julio Silva-Rodríguez Adrián Colomer Valery Naranjo 95 43 0 21 May 2021
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning Jiayun Li Wenyuan Li Anthony Sisk Huihui Ye W. D. Wallace W. Speier C. Arnold 67 111 0 05 Nov 2020
Multi-task pre-training of deep neural networks for digital pathology Romain Mormont Pierre Geurts R. Marée 39 52 0 05 May 2020
Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment? Xin Yi S. Adams Robert D. E. Henderson P. Babyn 44 32 0 09 Feb 2020
An attention-based multi-resolution model for prostate whole slide imageclassification and localization Jiayun Li Wenyuan Li Arkadiusz Gertych Beatrice Knudsen W. Speier C. Arnold 122 36 0 30 May 2019