MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images

22 October 2021

Papers citing "MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images"

6 / 6 papers shown

Title
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records Shuai Jiang Christina Robinson Joseph Anderson William Hisey Lynn Butterly A. Suriawinata Saeed Hassanpour 19 0 0 13 Oct 2024
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology Omar S. M. El Nahhas M. Treeck Georg Wolflein Michaela Unger M. Ligero ... K. J. Hewitt Firas Khader S. Foersch Daniel Truhn Jakob Nikolas Kather 14 6 0 18 Dec 2023
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
Masked Pre-Training of Transformers for Histology Image Analysis Shuai Jiang Liesbeth Hondelink A. Suriawinata Saeed Hassanpour MedIm 26 13 0 14 Apr 2023
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 764 0 13 Nov 2018
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012