ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

15 February 2022

Jean-Philippe Thiran

Papers citing "ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification"

20 / 20 papers shown

Title
Towards Accurate and Interpretable Neuroblastoma Diagnosis via Contrastive Multi-scale Pathological Image Analysis Zhu Zhu Shuo Jiang Jingyuan Zheng Yawen Li Yifei Chen Manli Zhao Weizhong Gu Feiwei Qin Jinhu Wang Gang Yu MedIm 33 0 0 18 Apr 2025
Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification Annalisa Chiocchetti Marco Dossena Christopher Irwin Luigi Portinale 19 0 0 15 Oct 2024
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs Neel Kanwal Farbod Khoraminia Umay Kiraz Andrés Mosquera-Zamudio Carlos Monteagudo Emiel A. M. Janssen T. Zuiverloon Chunmig Rong K. Engan MoE 23 4 0 12 Mar 2024
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders Srijan Das Tanmay Jain Dominick Reilly P. Balaji Soumyajit Karmakar Shyam Marjit Xiang Li Abhijit Das Michael S. Ryoo 22 16 0 31 Oct 2023
Classifying Whole Slide Images: What Matters? Long Nguyen Aiden Nibali Joshua Millward Zhen He 14 0 0 05 Oct 2023
Improved Breast Cancer Diagnosis through Transfer Learning on Hematoxylin and Eosin Stained Histology Images Fahad Ahmed Reem Abdel-Salam Leon Hamnett M. Adewunmi T. Ayano 17 2 0 15 Sep 2023
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning S. Kapse Srijan Das Jingwei Zhang Rajarsi R. Gupta Joel H. Saltz Dimitris Samaras Prateek Prasanna 17 9 0 12 Sep 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 16 3 0 28 Aug 2023
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer Rafsanjany Kushol Collin C. Luk Avyarthana Dey M. Benatar H. Briemberg ... R. Welsh A. Wilman L. Zinman S. Kalra Yee-Hong Yang MedIm 12 9 0 21 Feb 2023
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime Thomas Stegmüller C. Abbet Behzad Bozorgtabar Holly E. Clarke P. Petignat P. Vassilakos Jean-Philippe Thiran 17 4 0 10 Feb 2023
CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification Tianyi Zhang Zhiling Yan Chun Xing Li Nan Ying Y. Lei Yun Feng Yu Zhao Guanglei Zhang 8 1 0 27 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 13 26 0 21 Dec 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 27 19 0 27 Nov 2022
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential M. Gadermayr M. Tschuchnig 13 57 0 09 Jun 2022
CD-Net: Histopathology Representation Learning using Pyramidal Context-Detail Network S. Kapse Srijan Das Prateek Prasanna 10 5 0 28 Mar 2022
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment Y. Oh G. Bae Kyungdoc Kim M. Yeo Jong Chul Ye 14 5 0 17 Feb 2022
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 16 70 0 08 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Yanning Zhou S. Graham Navid Alemi Koohbanani Muhammad Shaban Pheng-Ann Heng Nasir M. Rajpoot MedIm 27 169 0 03 Sep 2019