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Summary
| Description |
English: Histopathology of lung adenocarcinoma with acinar pattern, H&E stain |
| Date | |
| Source |
Chen CL, Chen CC, Yu WH, Chen SH, Chang YC, Hsu TI (2021). "An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning.". Nat Commun 12 (1): 1193. DOI:10.1038/s41467-021-21467-y. PMID 33608558. PMC: 7896045. - "This article is licensed under a Creative Commons Attribution 4.0 International License" |
| Author | Chen CL, Chen CC, Yu WH, Chen SH, Chang YC, Hsu TI |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 22:43, 22 December 2023 | | 702 × 705 (1.06 MB) | Mikael Häggström | Uploaded a work by Chen CL, Chen CC, Yu WH, Chen SH, Chang YC, Hsu TI from {{cite journal| author=Chen CL, Chen CC, Yu WH, Chen SH, Chang YC, Hsu TI | display-authors=etal| title=An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning. | journal=Nat Commun | year= 2021 | volume= 12 | issue= 1 | pages= 1193 | pmid=33608558 | doi=10.1038/s41467-021-21467-y | pmc=7896045 | url=https://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?d... |
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