Deep learning segmentation of glomeruli on kidney donor frozen sections-Reference-Cited by-同舟云学术

Deep learning segmentation of glomeruli on kidney donor frozen sections

Published:2021-12-20 Issue:06 Volume:8 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Li Xiang¹,Davis Richard C.²,Xu Yuemei²,Wang Zehan³,Souma Nao⁴,Sotolongo Gina²,Bell Jonathan²,Ellis Matthew⁴,Howell David²,Shen Xiling³,Lafata Kyle J.¹,Barisoni Laura²

Affiliation:

1. Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina

2. Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North

3. Duke University, Department of Biomedical Engineering, Durham, North Carolina

4. Duke University, Department of Medicine, Division of Nephrology, Durham, North Carolina

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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4. Identifying and matching 12‐level multistained glomeruli via deep learning for diagnosis of glomerular diseases;International Journal of Imaging Systems and Technology;2024-02-21

5. Deep learning applications for kidney histology analysis;Current Opinion in Nephrology & Hypertension;2024-02-19