MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks

4 July 2018

Papers citing "MITOS-RCNN: A Novel Approach to Mitotic Figure Detection in Breast Cancer Histopathology Images using Region Based Convolutional Neural Networks"

6 / 6 papers shown

Title
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes Haojue Huang G. Zhou Xuejun Liu L. Deng Chengju Wu Dachuan Zhang Hui Liu MedIm 53 14 0 25 Apr 2022
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting Michael Fitzke Derick Whitley Wilson Yau Fernando Rodrigues V. Fadeev C. Bacmeister Chris Carter Jeffrey Edwards M. Lungren Mark Parkinson 57 5 0 17 Aug 2021
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A Survey Dan Zhao Guizhi Xu Xu Zhenghua Thomas Lukasiewicz Minmin Xue Zhigang Fu OOD 40 2 0 02 Nov 2020
Deep Feature Fusion for Mitosis Counting R. Yancey 16 2 0 01 Feb 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 162 582 0 28 Dec 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer H. Le Rajarsi R. Gupta L. Hou Shahira Abousamra Danielle Fassler ... A. Dyke Ashish Sharma Erich Bremer Jonas S. Almeida Joel H. Saltz 77 96 0 26 May 2019