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Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs

Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs

P. Bokor
L. Hudec
O. Fabian
Wanda Benesova
ArXiv (abs)PDFHTML

Papers citing "Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs"

6 / 6 papers shown
Title
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
S. Tripathi
S. Singh
H. Lee
25
46
0
05 Jun 2021
BACH: Grand Challenge on Breast Cancer Histology Images
BACH: Grand Challenge on Breast Cancer Histology Images
Guilherme Aresta
Teresa Araújo
S. Kwok
Sai Saketh Chennamsetty
P. MohammedSafwanK.
...
L. Boulmane
A. Campilho
C. Eloy
A. Polónia
Paulo Aguiar
405
570
0
13 Aug 2018
Rotation Equivariant CNNs for Digital Pathology
Rotation Equivariant CNNs for Digital Pathology
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
116
584
0
08 Jun 2018
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
681
10,796
0
19 Feb 2017
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,260
0
23 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,412
0
02 Dec 2015

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