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Deep learning-based virtual staining,segmentation,and classification in label-free photoacoustic histology of human specimens

Chiho Yoon Eunwoo Park Sampa Misra Jin Young Kim Jin Woo Baik Kwang Gi Kim Chan Kwon Jung Chulhong Kim

光：科学与应用（英文版）2024，Vol.13Issue(10)：2353-2366,14.
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光：科学与应用（英文版）2024，Vol.13Issue(10)：2353-2366,14.DOI:10.1038/s41377-024-01554-7

Deep learning-based virtual staining,segmentation,and classification in label-free photoacoustic histology of human specimens

Deep learning-based virtual staining,segmentation,and classification in label-free photoacoustic histology of human specimens

Chiho Yoon 1Eunwoo Park 1Sampa Misra 1Jin Young Kim 2Jin Woo Baik 1Kwang Gi Kim 3Chan Kwon Jung 4Chulhong Kim2

作者信息

  • 1. Departments of Electrical Engineering,Convergence IT Engineering,Mechanical Engineering,Medical Science and Engineering,Graduate School of Artificial Intelligence,and Medical Device Innovation Center,Pohang University of Science and Technology(POSTECH),Pohang,Republic of Korea
  • 2. Departments of Electrical Engineering,Convergence IT Engineering,Mechanical Engineering,Medical Science and Engineering,Graduate School of Artificial Intelligence,and Medical Device Innovation Center,Pohang University of Science and Technology(POSTECH),Pohang,Republic of Korea||Opticho Inc.,Pohang,Republic of Korea
  • 3. Department of Health Sciences and Technology,Gachon Advanced Institute for Health Sciences and Technology(GAIHST),Gachon University,Incheon,Republic of Korea
  • 4. Cancer Research Institute,College of Medicine,The Catholic University of Korea,Seoul,Republic of Korea||Department of Hospital Pathology,Seoul St.Mary's Hospital,College of Medicine,The Catholic University of Korea,Seoul,Republic of Korea
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摘要

引用本文复制引用

Chiho Yoon,Eunwoo Park,Sampa Misra,Jin Young Kim,Jin Woo Baik,Kwang Gi Kim,Chan Kwon Jung,Chulhong Kim..Deep learning-based virtual staining,segmentation,and classification in label-free photoacoustic histology of human specimens[J].光：科学与应用（英文版）,2024,13(10):2353-2366,14.

基金项目

This work was supported by the following sources:Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2020R1A6A1A03047902),NRF grant funded by the Ministry of Science and ICT(MSIT)(2023R1A2C3004880 （NRF）

2021M3C1C3097624),Korea Medical Device Development Fund grant funded by the Korea government(MSIT,the Ministry of Trade,Industry and Energy,the Ministry of Health & Welfare,the Ministry of Food and Drug Safety)(Project Number:1711195277,RS-2020-KD000008 （MSIT,the Ministry of Trade,Industry and Energy,the Ministry of Health & Welfare,the Ministry of Food and Drug Safety）

1711196475,RS-2023-00243633),Institute of Information & communications Technology Planning & Evaluation(IITP)grant funded by the Korea government(MSIT)(No.RS-2019-II191906,Artificial Intelligence Graduate School Program(POSTECH)),and BK21 FOUR program. （IITP）

光：科学与应用（英文版）

OACSTPCD

2095-5545

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