Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease-Reference-Cited by-同舟云学术

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Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease

Published:2024-11 Issue: Volume:253 Page:124270
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lai Yexin^ORCID,Liu Xueyu^ORCID,E. Linning^ORCID,Cheng Yujing^ORCID,Liu Shuyan^ORCID,Wu Yongfei^ORCID,Zheng Wen^ORCID

Publisher

Elsevier BV

Reference65 articles.

1. Deep learning for screening of interstitial lung disease patterns in high-resolution CT images;Agarwala;Clinical Radiology,2020

2. Special convolutional neural network for identification and positioning of interstitial lung disease patterns in computed tomography images;Agarwala;Pattern Recognition and Image Analysis,2021

3. Lung pattern classification for interstitial lung diseases using a deep convolutional neural network;Anthimopoulos;IEEE Transactions on Medical Imaging,2016

4. Semantic segmentation of pathological lung tissue with dilated fully convolutional networks;Anthimopoulos;IEEE Journal of Biomedical and Health Informatics,2018

5. MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas;Cai;The Journal of Pathology,2023

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