Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos-Reference-Cited by-同舟云学术

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Adaptify: A Refined Test-Time Adaptation Scheme for Frame Classification Consistency in Atrophic Gastritis Videos

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

Xiong Zinan¹,Chen Shuijiao²,Zhang Yizhe³,Cao Yu¹,Liu Benyuan¹,Liu Xiaowei²

Affiliation:

1. University of Massachusetts Lowell,Miner School of Computer and Information Sciences,Lowell,MA,USA,01854

2. Xiangya Hospital of Central South University,Department of Gastroenterology,Changsha,China,410008

3. Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635341.pdf?arnumber=10635341

Reference19 articles.

1. Swin-Pose: Swin Transformer Based Human Pose Estimation

2. Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks

3. Deep Learning Assisted Mouth-Esophagus Passage Time Estimation During Gastroscopy

4. Confidence-based interactable neural-symbolic visual question answering

5. A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images

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