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

Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation

Authors: Groesbeck P. Parham, Didem Egemen, Brian Befano, Mulindi H. Mwanahamuntu, Ana Cecilia Rodriguez, Sameer Antani, Samson Chisele, Mukatimui Kalima Munalula, Friday Kaunga, Francis Musonda, Evans Malyangu, Aaron Lunda Shibemba, Silvia de Sanjose, Mark Schiffman, Vikrant V. Sahasrabuddhe

Source: Infectious Agents and Cancer, Vol 18, Iss 1, Pp 1-11 (2023)

Subject Terms: Cervical cancer screening, HPV typing, AI, Risk-based management, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216

File Description: electronic resource

Relation: https://doaj.org/toc/1750-9378

Access URL: https://doaj.org/article/cf807927317c4f2d9a9687630ac6a069

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

Improving the repeatability of deep learning models with Monte Carlo dropout

Authors: Andreanne Lemay, Katharina Hoebel, Christopher P. Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer

Source: npj Digital Medicine, Vol 5, Iss 1, Pp 1-11 (2022)

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

File Description: electronic resource

Relation: https://doaj.org/toc/2398-6352

Access URL: https://doaj.org/article/d201db3d55dc4827b2c9d94495d6e5ca

A rapid, high-volume cervical screening project using self-sampling and isothermal PCR HPV testing

Authors: Andrew Goldstein, Yang Lei, Lena Goldstein, Amelia Goldstein, Qiao Xu Bai, Juan Felix, Roberta Lipson, Maria Demarco, Mark Schiffman, Didem Egemen, Kanan T. Desai, Sarah Bedell, Janet Gersten, Gail Goldstein, Karen O’Keefe, Casey O’Keefe, Tierney O’Keefe, Cathy Sebag, Lior Lobel, Anna Zhao, Yan Ling Lu

Source: Infectious Agents and Cancer, Vol 15, Iss 1, Pp 1-7 (2020)

Subject Terms: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s13027-020-00329-0; https://doaj.org/toc/1750-9378

Access URL: https://doaj.org/article/78d90dd307ef42cfbb87435f6ff8b54a

Design and feasibility of a novel program of cervical screening in Nigeria: self-sampled HPV testing paired with visual triage

Authors: Kanan T. Desai, Kayode O. Ajenifuja, Adekunbiola Banjo, Clement A. Adepiti, Akiva Novetsky, Cathy Sebag, Mark H. Einstein, Temitope Oyinloye, Tamara R. Litwin, Matt Horning, Fatai Olatunde Olanrewaju, Mufutau Muphy Oripelaye, Esther Afolabi, Oluwole O. Odujoko, Philip E. Castle, Sameer Antani, Ben Wilson, Liming Hu, Courosh Mehanian, Maria Demarco, Julia C. Gage, Zhiyun Xue, Leonard R. Long, Li Cheung, Didem Egemen, Nicolas Wentzensen, Mark Schiffman

Source: Infectious Agents and Cancer, Vol 15, Iss 1, Pp 1-13 (2020)

Subject Terms: Cervical screening, HPV, Self-sampling, Triage, Automated visual evaluation, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s13027-020-00324-5; https://doaj.org/toc/1750-9378

Access URL: https://doaj.org/article/272fafd888d3448d89d9a234a5b91421

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