Research Area

Health Technologies

Deep Learning-Assisted Diagnosis and Epidemiological Data Management (Health 4.0).

Brasil++

2026article

Assessing the efficacy of convolutional neural networks for Pap smear classification: a real world analysis

M.Sc. Sidnir Carlos Baia Ferreira, M.Sc. Romário da Costa Silva, Dr. Carlos André de Mattos Teixeira, Profa. Dra. Evelin Helena Cardoso Gomes, Profa. Dra. Jasmine Priscyla Leite de Araújo, Prof. Dr. Carlos Renato Lisboa Francês

Health Technologies

Related Projects

Brasil++

Related Publications

Assessing the efficacy of convolutional neural networks for Pap smear classification: a real world analysis

Health Technologies

Related Projects

Brasil++

Related Publications

Assessing the efficacy of convolutional neural networks for Pap smear classification: a real world analysis