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

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

4 July 2018
S. Rao
ArXiv (abs)PDFHTML

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
Contrastive learning-based computational histopathology predict
  differential expression of cancer driver genes
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
106
18
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
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
157
6
0
17 Aug 2021
Deep Learning in Computer-Aided Diagnosis and Treatment of Tumors: A
  Survey
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
228
4
0
02 Nov 2020
Deep Feature Fusion for Mitosis Counting
Deep Feature Fusion for Mitosis Counting
R. Yancey
128
2
0
01 Feb 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
400
653
0
28 Dec 2019
Utilizing Automated Breast Cancer Detection to Identify Spatial
  Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast CancerAmerican Journal of Pathology (Am J Pathol), 2019
H. Le
Rajarsi R. Gupta
L. Hou
Shahira Abousamra
Danielle Fassler
...
A. Dyke
Ashish Sharma
Erich Bremer
Jonas S. Almeida
Joel H. Saltz
201
109
0
26 May 2019
1