DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images-Reference-Cited by-同舟云学术

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DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images

Published:2024-05 Issue: Volume:248 Page:108112
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Bui Doanh C.,Song Boram^ORCID,Kim Kyungeun,Kwak Jin Tae^ORCID

Funder

Korea Health Industry Development Institute

Publisher

Elsevier BV

Reference57 articles.

1. Artificial intelligence and computational pathology;Cui;Lab. Investig.,2021

2. Deep learning for magnification independent breast cancer histopathology image classification;Bayramoglu,2016

3. Breast cancer histopathological image classification using convolutional neural networks with small se-resnet module;Jiang;PLoS ONE,2019

4. Breast cancer histopathological image classification using a hybrid deep neural network;Yan;Methods,2020

5. Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism;Chen;BMC Med. Inform. Decis. Mak.,2022

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