Semi-supervised Contrast Learning in Renal Pathological Image Classification-Reference-Cited by-同舟云学术

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Semi-supervised Contrast Learning in Renal Pathological Image Classification

Published:2023-11-09 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Awareness Science and Technology (iCAST)
language:
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Author:

Liu Xinkai¹,Tian Xingjian¹,Zhu Xin¹,Iwasaki Tsuyoshi²,Sato Atsuya²,Kazama Junichiro James²

Affiliation:

1. The University of Aizu,Graduate School of Computer Science and Engineering,Aizuwakamatsu,Japan

2. Fukushima Medical University,Department of Nephrology and Hypertension,Fukushima,Japan

Funder

University of Aizu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10359246/10359247/10359280.pdf?arnumber=10359280

Reference16 articles.

1. Challenges in Pathologic Staging of Renal Cell Carcinoma

2. Clinical Application of Computer-Aided Diagnostic System for Harmonious Introduction of Complementary Dialysis Therapy

3. Digital pathology in nephrology clinical trials, research, and pathology practice

4. Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules

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