Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope

Mercy N. Asiedu, Erica Skerrett, Guillermo Sapiro, Nirmala Ramanujam

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Fingerprint

Dive into the research topics of 'Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope'. Together they form a unique fingerprint.

Medicine and Dentistry

Biochemistry, Genetics and Molecular Biology

Keyphrases