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Artificial intelligence (AI) -powered spatial analysis of tumor-infiltrating lymphocytes (TILs) for prediction of prognosis in resectable pancreatic adenocarcinoma (PDAC)
- Authors
- Lim, Y[Lim, Yoojoo]; Choi, JH[Choi, Jin Ho]; Kim, H[Kim, Hyemin]; Han, IW[Han, In Woong]; Song, S[Song, Sanghoon]; Shin, J[Shin, Jiwon]; Song, H[Song, Heon]; Park, S[Park, Seonwook]; Pereira, S[Pereira, Sergio]; Shin, SH[Shin, Sang Hyun]; Heo, JS[Heo, Jin Seok]; Lee, KH[Lee, Kwang Hyuck]; Lee, KT[Lee, Kyu Taek]; Lee, JK[Lee, Jong Kyun]; Jang, KT[Jang, Kee-Taek]; Ock, CY[Ock, Chan-Young]; Park, JK[Park, Joo Kyung]
- Issue Date
- 1-Jun-2023
- Publisher
- LIPPINCOTT WILLIAMS & WILKINS
- Citation
- JOURNAL OF CLINICAL ONCOLOGY, v.41, no.16
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF CLINICAL ONCOLOGY
- Volume
- 41
- Number
- 16
- ISSN
- 0732-183X
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Collections - Medicine > Department of Medicine > 1. Journal Articles
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