HD-Former: A hierarchical dependency Transformer for medical image segmentation-Reference-Cited by-同舟云学术

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HD-Former: A hierarchical dependency Transformer for medical image segmentation

Published:2024-08 Issue: Volume:178 Page:108671
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Wu Haifan,Min Weidong^ORCID,Gai Di,Huang Zheng,Geng Yuhan,Wang Qi,Chen Ruibin^ORCID

Publisher

Elsevier BV

Reference77 articles.

1. Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images;Sharif;Pattern Recognit. Lett.,2020

2. Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization;Khan;Diagnostics,2021

3. Gastrointestinal diseases segmentation and classification based on duo-deep architectures;Khan;Pattern Recognit. Lett.,2020

4. Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection;Khan;Expert Syst.,2022

5. VGG19 network assisted joint segmentation and classification of lung nodules in CT images;Khan;Diagnostics,2021

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