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2005.01609
Cited By

How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To
Pathology Images?

v1v2v3 (latest)

How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?

PLoS ONE (PLOS ONE), 2020

24 April 2020

Konstantinos N. Plataniotis

ArXiv (abs)PDF HTML

Papers citing "How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?"

3 / 3 papers shown

Identifying regions of interest in whole slide images of renal cell carcinoma

Identifying regions of interest in whole slide images of renal cell carcinomaResearch on Biomedical Engineering (RBE), 2021

Mohammed Lamine Benomar

Xavier Descombes

Damien Ambrosetti

418

1

0

09 Apr 2025

MoMA: Momentum Contrastive Learning with Multi-head Attention-based
Knowledge Distillation for Histopathology Image Analysis

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis

334

13

0

31 Aug 2023

Improving Feature Extraction from Histopathological Images Through A
Fine-tuning ImageNet Model

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet ModelJournal of Pathology Informatics (J Pathol Inform), 2022

203

36

0

03 Jan 2022

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