Folia Neuropathologica
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Folia Neuropathologica
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3/2025
vol. 63
 
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Original paper

Application of a convolutional neural network model to construct an automatic, AI-based identification system for rat kidney tissue microscopic images

Chen Yun
1, 2
,
Ai-Yun Zha
2, 3
,
Xiaofan He
4
,
Suhua Xu
4
,
Xiaohong Tang
5
,
Qiang Li
6
,
Lianghong Yin
2, 3
,
Shaodong Luan
7

  1. Department of Nephrology, Charité – Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
  2. Clinical Medical Research Institute of the First Affiliated Hospital of Jinan University, Guangzhou 510632, Guangdong Province, China
  3. Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou 510632, Guangdong Province, China
  4. Guangdong Medical Devices Quality Surveillance and Test Institute, Guangzhou 510663, Guangdong Province, China
  5. Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, 510260 China
  6. Department of Nephrology, Dongguan Hospital of Traditional Chinese Medicine, Dongguan 523000, China
  7. Department of Nephrology, Shenzhen Longhua District Central Hospital, Shenzhen 518110, Guangdong Province, China
Folia Neuropathol 2025; 63 (3): 289-303
DOI: https://doi.org/10.5114/fn.2025.153859
Online publish date: 2025/09/16
Article file
- Application.pdf  [1.38 MB]
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Copyright: © 2025 Mossakowski Medical Research Centre Polish Academy of Sciences and the Polish Association of Neuropathologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
  
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