Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation-Reference-Cited by-同舟云学术

Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation

Published:2022-12-20 Issue: Volume: Page:
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Container-title:2022 RIVF International Conference on Computing and Communication Technologies (RIVF)
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Author:

Nguyen-Mau Trong-Hieu¹,Trinh Quoc-Huy¹,Bui Nhat-Tan²,Tran Minh-Triet³,Nguyen Hai-Dang⁴

Affiliation:

1. University of Science, VNU-HCM, Vietnam National University,Faculty of Information Technology,Ho Chi Minh City,Vietnam

2. International Training & Education Center, University of Science, VNU-HCM, Vietnam National University,Ho Chi Minh City,Vietnam

3. International Training & Education Center, John von Neumann Institute, VNU-HCM, University of Science, VNU-HCM, Vietnam National University,Faculty of Information Technology, Software Engineering Laboratory,Ho Chi Minh City,Vietnam

4. University of Science, VNU-HCM, Vietnam National University,Software Engineering Laboratory,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10013784/10013785/10013883.pdf?arnumber=10013883

Reference30 articles.

1. A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation

2. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

3. ResUNet++: An Advanced Architecture for Medical Image Segmentation

4. NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

5. DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

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