Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer.
Saved in:
| Title: | Artificial intelligence-detected HER2 strong-positive tumor proportion predicts FISH positivity and treatment response in breast cancer. |
|---|---|
| Authors: | Song SG; Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea., Cho SI; Lunit, Seoul, Republic of Korea., Sim T; Lunit, Seoul, Republic of Korea., Shin S; Lunit, Seoul, Republic of Korea., Jung W; Lunit, Seoul, Republic of Korea., Shin J; Lunit, Seoul, Republic of Korea., Kim S; Lunit, Seoul, Republic of Korea., Song H; Lunit, Seoul, Republic of Korea., Pereira S; Lunit, Seoul, Republic of Korea., Yoo D; Lunit, Seoul, Republic of Korea., Baek SK; Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Na K; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea., Jung M; Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim SW; Department of Pathology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Republic of Korea. |
| Source: | PloS one [PLoS One] 2026 Jul 06; Vol. 21 (7), pp. e0352979. Date of Electronic Publication: 2026 Jul 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0352979 |
