Generalizable deep neural networks for image quality classification of cervical images

Authors: Syed Rakin Ahmed, Brian Befano, Didem Egemen, Ana Cecilia Rodriguez, Kanan T. Desai, Jose Jeronimo, Kayode O. Ajenifuja, Christopher Clark, Rebecca Perkins, Nicole G. Campos, Federica Inturrisi, Nicolas Wentzensen, Paul Han, Diego Guillen, Judy Norman, Andrew T. Goldstein, Margaret M. Madeleine, Yeycy Donastorg, Mark Schiffman, Silvia de Sanjose, Jayashree Kalpathy-Cramer, the PAVE Study Group

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Subject Terms: Image quality, Cervical cancer screening, Artificial intelligence, Deep learning, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/77dd8dfefd4248798401cb55d97311c4

Assessing generalizability of an AI-based visual test for cervical cancer screening.

Authors: Syed Rakin Ahmed, Didem Egemen, Brian Befano, Ana Cecilia Rodriguez, Jose Jeronimo, Kanan Desai, Carolina Teran, Karla Alfaro, Joel Fokom-Domgue, Kittipat Charoenkwan, Chemtai Mungo, Rebecca Luckett, Rakiya Saidu, Taina Raiol, Ana Ribeiro, Julia C Gage, Silvia de Sanjose, Jayashree Kalpathy-Cramer, Mark Schiffman

Source: PLOS Digital Health, Vol 3, Iss 10, p e0000364 (2024)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://doaj.org/toc/2767-3170

Access URL: https://doaj.org/article/a4826030e45540a2b3e411587d53f3fe

Reproducible and clinically translatable deep neural networks for cervical screening

Authors: Syed Rakin Ahmed, Brian Befano, Andreanne Lemay, Didem Egemen, Ana Cecilia Rodriguez, Sandeep Angara, Kanan Desai, Jose Jeronimo, Sameer Antani, Nicole Campos, Federica Inturrisi, Rebecca Perkins, Aimee Kreimer, Nicolas Wentzensen, Rolando Herrero, Marta del Pino, Wim Quint, Silvia de Sanjose, Mark Schiffman, Jayashree Kalpathy-Cramer

Source: Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5b8bb423fd0943a49499624df87224c8

Design of the HPV-automated visual evaluation (PAVE) study: Validating a novel cervical screening strategy

Authors: Silvia de Sanjosé, Rebecca B Perkins, Nicole Campos, Federica Inturrisi, Didem Egemen, Brian Befano, Ana Cecilia Rodriguez, Jose Jerónimo, Li C Cheung, Kanan Desai, Paul Han, Akiva P Novetsky, Abigail Ukwuani, Jenna Marcus, Syed Rakin Ahmed, Nicolas Wentzensen, Jayashree Kalpathy-Cramer, Mark Schiffman, On behalf of the PAVE Study Group

Source: eLife, Vol 12 (2024)

Subject Terms: human papillomavirus, cervical cancer, screening, artifitial inteligence, oncogenic HPV, prevention, Medicine, Science, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://elifesciences.org/articles/91469; https://doaj.org/toc/2050-084X

Access URL: https://doaj.org/article/8f485ac7accb4f9c9cf253414ff4d22e