RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models-Reference-Cited by-同舟云学术

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RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models

Published:2024-06 Issue: Volume:293 Page:111664
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liang Pengchen^ORCID,Chen Jianguo^ORCID,Chang Qing,Yao Lei

Publisher

Elsevier BV

Reference57 articles.

1. Deep learning techniques for medical image segmentation: achievements and challenges;Hesamian;J. Digit. Imaging,2019

2. Unext: Mlp-based rapid medical image segmentation network;Valanarasu,2022

3. Transformers in medical imaging: A survey;Shamshad;Med. Image Anal.,2023

4. Transunet: Transformers make strong encoders for medical image segmentation;Chen,2021

5. Lightweight and optimization acceleration methods for vision transformer: A review;Chen,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. StAlK: Structural Alignment based Self Knowledge distillation for Medical Image Classification;Knowledge-Based Systems;2024-11

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