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

被引：0

作者：

Park, Gahee ^{[1
]}

Choi, Sangjoon ^{[2
]}

Kim, Seokhwi ^{[3
]}

Cho, Soo Ick ^{[4
]}

Jung, Wonkyung ^{[4
]}

Ryu, Jeongun ^{[4
]}

Ma, Minuk ^{[4
]}

Yoo, Donggeun ^{[5
]}

Paeng, Kyunghyun ^{[5
]}

Ock, Chan-Young ^{[5
]}

Song, Sanghoon ^{[4
]}

Song, Heon ^{[4
]}

Pereira, Sergio ^{[5
]}

Park, Seonwook ^{[5
]}

机构：

[1] Lunit Inc, Gangnam, South Korea

[2] Samsung Med Ctr, Seoul, South Korea

[3] Ajou Univ, Sch Med, Suwon, South Korea

[4] Lunit Inc, Gangnamgu, South Korea

[5] Lunit Inc, Seoul, South Korea

来源：

关键词：

D O I：

暂无

中图分类号：

R36 [病理学];

学科分类号：

100104 ;

摘要：

1158

引用

页码：1256 / 1257

页数：2