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eess.IV2022
Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation
João Gustavo Atkinson Amorim, André Victória Matias, Allan Cerentini +4
Cervical cancer is a public health problem, where the treatment has a better chance of success if detected early. The analysis is a manual process which is subject to a human error…
eess.IV2020
Towards a Complete Pipeline for Segmenting Nuclei in Feulgen-Stained Images
Luiz Antonio Buschetto Macarini, Aldo von Wangenheim, Felipe Perozzo Daltoé +3
Cervical cancer is the second most common cancer type in women around the world. In some countries, due to non-existent or inadequate screening, it is often detected at late stages…