Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation-Reference-Cited by-同舟云学术

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Fusenet: Self-Supervised Dual-Path Network For Medical Image Segmentation

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
language:
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Author:

Kazerouni Amirhossein¹,Karimijafarbigloo Sanaz²,Azad Reza³,Velichko Yury⁴,Bagci Ulas⁴,Merhof Dorit²

Affiliation:

1. Iran University of Science and Technology,School of Electrical Engineering,Iran

2. University of Regensburg,Faculty of Informatics and Data Science,Germany

3. RWTH Aachen University,Faculty of Electrical Engineering and Information Technology,Germany

4. Northwestern University,Department of Radiology,Chicago,IL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635112.pdf?arnumber=10635112

Reference14 articles.

1. Medical Image Segmentation Review: The Success of U-Net

2. Self-Supervised Skin Lesion Segmentation: An Annotation-Free Approach

3. Ms-former: Multi-scale self-guided transformer for medical image segmentation;Karimijafarbigloo;Medical Imaging with Deep Learning,2023

4. Self-supervised Semantic Segmentation: Consistency over Transformation

5. A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation

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