Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images

14 February 2022

Papers citing "Handcrafted Histological Transformer (H2T): Unsupervised Representation of Whole Slide Images"

5 / 5 papers shown

Title
Multi-Resolution Pathology-Language Pre-training Model with Text-Guided Visual Representation Shahad Albastaki Anabia Sohail I. I. Ganapathi B. Alawode Asim Khan Sajid Javed Naoufel Werghi Mohammed Bennamoun Arif Mahmood 66 0 0 26 Apr 2025
Domain Generalization in Computational Pathology: Survey and Guidelines Mostafa Jahanifar M. Raza Kesi Xu T. Vuong R. Jewsbury ... Neda Zamanitajeddin Jin Tae Kwak S. Raza F. Minhas Nasir M. Rajpoot OOD 28 17 0 30 Oct 2023
Classifying Whole Slide Images: What Matters? Long Nguyen Aiden Nibali Joshua Millward Zhen He 27 0 0 05 Oct 2023
Masked Pre-Training of Transformers for Histology Image Analysis Shuai Jiang Liesbeth Hondelink A. Suriawinata Saeed Hassanpour MedIm 26 13 0 14 Apr 2023
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021