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Deep Learning Models for Digital Pathology

Deep Learning Models for Digital Pathology

27 October 2019
A. Bentaieb
Ghassan Hamarneh
    MedIm
ArXivPDFHTML

Papers citing "Deep Learning Models for Digital Pathology"

3 / 3 papers shown
Title
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting
  Cancer Biomarkers using Sequencer Architecture
DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture
M. Cen
Xingyu Li
Bangwei Guo
J. Jonnagaddala
Hong Zhang
Xuesong Xu
MedIm
22
0
0
03 May 2023
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
286
10,613
0
19 Feb 2017
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
149
348
0
07 Feb 2013
1