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Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model
  Generalization in Digital Pathology

Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology

3 May 2023
Sai Chowdary Gullapally
Yibo Zhang
Nitin Mittal
Deeksha Kartik
Sandhya Srinivasan
Kevin Rose
Daniel Shenker
Dinkar Juyal
Harshith Padigela
Raymond Biju
Victor Minden
Chirag Maheshwari
Marc Thibault
Zvi Goldstein
Luke Novak
Nidhi Chandra
Justin Lee
Aaditya (Adi) Prakash
Chintan Shah
J. Abel
D. Fahy
A. Taylor-Weiner
Anand Sampat
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Papers citing "Synthetic DOmain-Targeted Augmentation (S-DOTA) Improves Model Generalization in Digital Pathology"

3 / 3 papers shown
Title
Virchow2: Scaling Self-Supervised Mixed Magnification Models in
  Pathology
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
31
27
0
01 Aug 2024
Standardized CycleGAN training for unsupervised stain adaptation in
  invasive carcinoma classification for breast histopathology
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology
Nicolas Nerrienet
Rémy Peyret
Marie Sockeel
Stéphane Sockeel
MedIm
22
4
0
30 Jan 2023
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
174
9,327
0
28 May 2015
1