RECOD wins international competition for melanoma classification

A team of RECOD researchers won the melanoma classification task at the “Skin Lesion Analysis towards Melanoma Detection” challenge promoted by the International Skin Imaging Collaboration (ISIC).

RECOD got the third place (among 23 participants) at the skin lesion classification for two lesions (melanoma and seborrheic keratosis), and the fifth place for skin lesion segmentation. For the specific task of melanoma detection — the most important in this research area — RECOD got first place. RECOD’s participation in those tasks is detailed in a technical report (submitted before the official ranking was announced).

The results will be presented by Prof. Eduardo Valle at the upcoming International Symposium of Biomedical Imaging (ISBI 2017), where the RECOD team will also present a paper about Transfer Learning and Deep Learning for skin lesion classification.

The team was composed by professors Eduardo Valle  and Sandra Avila, post-doc researcher Lin Tzy Li, Ph.D. student Michel Fornaciali, and M.Sc. students Afonso Menegola and Julia Tavares, all RECOD members.

Prof. Eduardo Valle and Michel Fornaciali were recipients of the Google Research Awards for Latin America 2016, with a project related to the automatic screening of melanoma. More details can be found at Unicamp News (in Portuguese).

RECOD Titans Melanoma Team

From left to right: Julia Tavares, Prof. Sandra Avila, Michel Fornaciali, Prof. Eduardo Valle, Dr. Lin Tzy Li, and Afonso Menegola


About eduardovalle

Professor at FEEC/UNICAMP, Brazil. Researcher on Machine Learning/Computer Vision, with emphasis on Health & Education applications.
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