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Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification
v1v2 (latest)

Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification

19 January 2025
Ken Enda
Yoshitaka Oda
Zen-ichi Tanei
Wang Lei
Masumi Tsuda
Takahiro Ogawa
Shinya Tanaka
Takahiro Ogawa
Wang Lei
Masumi Tsuda
Shinya Tanaka
ArXiv (abs)PDFHTML

Papers citing "Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification"

10 / 10 papers shown
Title
Benchmarking Pathology Foundation Models: Adaptation Strategies and
  Scenarios
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
Jeaung Lee
Jeewoo Lim
Keunho Byeon
Jin Tae Kwak
74
5
0
21 Oct 2024
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
97
39
0
01 Aug 2024
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Hervé Jégou
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
448
3,529
0
14 Apr 2023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang
Jiaming Han
Chris Liu
Peng Gao
Aojun Zhou
Xiangfei Hu
Shilin Yan
Pan Lu
Hongsheng Li
Yu Qiao
MLLM
176
787
0
28 Mar 2023
Artificial-intelligence-based molecular classification of diffuse
  gliomas using rapid, label-free optical imaging
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd C. Hollon
Cheng Jiang
Asadur Chowdury
Mustafa Nasir-Moin
A. Kondepudi
...
M. Snuderl
S. Camelo-Piragua
C. Freudiger
Ho Hin Lee
D. Orringer
97
94
0
23 Mar 2023
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
723
41,796
0
22 Oct 2020
Quantifying the effects of data augmentation and stain color
  normalization in convolutional neural networks for computational pathology
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
David Tellez
G. Litjens
Péter Bándi
W. Bulten
J. Bokhorst
F. Ciompi
Jeroen van der Laak
MedImOOD
64
489
0
18 Feb 2019
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
207
1,839
0
13 Feb 2018
Overcoming catastrophic forgetting in neural networks
Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
J. Veness
Guillaume Desjardins
...
A. Grabska-Barwinska
Demis Hassabis
Claudia Clopath
D. Kumaran
R. Hadsell
CLL
381
7,616
0
02 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
446
20,227
0
07 Oct 2016
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