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Artificial Intelligence-Powered Tumor Purity Assessment From H&E Whole Slide Images Correlates with Consensus Purity Estimation Based on Pathological Examination and Next-generation Sequencing
- Authors
- Park, G[Park, Gahee]; Choi, S[Choi, Sangjoon]; Kim, S[Kim, Seokhwi]; Cho, SI[Cho, Soo Ick]; Jung, W[Jung, Wonkyung]; Ryu, J[Ryu, Jeongun]; Ma, M[Ma, Minuk]; Yoo, D[Yoo, Donggeun]; Paeng, K[Paeng, Kyunghyun]; Ock, CY[Ock, Chan-Young]; Song, S[Song, Sanghoon]; Song, H[Song, Heon]; Pereira, S[Pereira, Sergio]; Park, S[Park, Seonwook]
- Issue Date
- Mar-2022
- Publisher
- SPRINGERNATURE
- Citation
- LABORATORY INVESTIGATION, v.102, no.SUPPL 1, pp.1256 - 1257
- Indexed
- SCIE
SCOPUS
- Journal Title
- LABORATORY INVESTIGATION
- Volume
- 102
- Number
- SUPPL 1
- Start Page
- 1256
- End Page
- 1257
- ISSN
- 0023-6837
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- There are no files associated with this item.
- Appears in
Collections - Medicine > Department of Medicine > 1. Journal Articles
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