Editorial: Molecular pathology and computational image analyses in gynecologic malignancies

Umberto Malapelle; Sandra Orsulic

doi:10.3389/fonc.2022.1082220

Editorial: Molecular pathology and computational image analyses in gynecologic malignancies

Front Oncol. 2022 Nov 21:12:1082220. doi: 10.3389/fonc.2022.1082220. eCollection 2022.

Authors

Umberto Malapelle¹, Sandra Orsulic^{2

3

4}

Affiliations

¹ Department of Public Health, University of Naples Federico II, Naples, Italy.
² United State (US) Department of Veterans Affairs, Greater Los Angeles Healthcare System, Los Angeles, CA, United States.
³ Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States.
⁴ Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, United States.

No abstract available

Keywords: artificial intelligence; cervical cancer; computational pathology; endometrial cancer; gynecologic; imaging; molecular pathology; ovarian cancer.

Publication types

Editorial

Publication types

Grants and funding