Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis

Deep learning quantifies pathologists’ visual patterns for whole slide image diagnosis

Abstract Based on the expertise of pathologists, the pixelwise manual annotation has provided substantial support for training deep learning models of whole slide images (WSI)-assisted diagnostic. However, the collection of pixelwise annotation demands massive annotation time from pathologists, lead...

Full description

Saved in:
Bibliographic Details
Main Authors: Tianhang Nan, Song Zheng, Siyuan Qiao, Hao Quan, Xin Gao, Jun Niu, Bin Zheng, Chunfang Guo, Yue Zhang, Xiaoqin Wang, Liping Zhao, Ze Wu, Yaoxing Guo, Xingyu Li, Mingchen Zou, Shuangdi Ning, Yue Zhao, Wei Qian, Hongduo Chen, Ruiqun Qi, Xinghua Gao, Xiaoyu Cui
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-60307-1
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41467-025-60307-1

Similar Items