Improved Breast Cancer Diagnosis through Transfer Learning on
Hematoxylin and Eosin Stained Histology Images

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Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images

15 September 2023

Reem Abdel-Salam

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Papers citing "Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images"

6 / 6 papers shown

Title
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification Thomas Stegmüller Behzad Bozorgtabar A. Spahr Jean-Philippe Thiran ViT MedIm 88 43 0 15 Feb 2022
BRACS: A Dataset for BReAst Carcinoma Subtyping in H&E Histology Images N. Brancati A. Anniciello Pushpak Pati D. Riccio G. Scognamiglio ... A. Foncubierta G. Botti M. Gabrani Florinda Feroce Maria Frucci 105 127 0 08 Nov 2021
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 418 570 0 13 Aug 2018
Convolutional capsule network for classification of breast cancer histology images T. Iešmantas R. Alzbutas MedIm 135 84 0 23 Apr 2018
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis Alexander Rakhlin Alexey A. Shvets V. Iglovikov Alexandr A Kalinin 170 310 0 02 Feb 2018
Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images B. Bejnordi Jimmy Lin B. Glass M. Mullooly Gretchen L. Gierach M. Sherman N. Karssemeijer Jeroen van der Laak Andrew H. Beck 50 76 0 19 Feb 2017