Work

A deep learning approach for Cervical Automated Risk Assessment (CARE) using images from a low-cost, portable Pocket colposcope

Year: 2022

Type: conference-paper

DOI: 10.1117/12.2608935

Authors: Erica Skerrett, Zichen Miao, Mercy Nyamewaa Asiedu, Qiang Qiu, Mercy Nyamewaa Asiedu, Guillermo Sapiro, Nimmi Ramanujam

Institutions: Duke University, Purdue University West Lafayette, Massachusetts Institute of Technology

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4287514588

FWCI:

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