159 citations · 345 across the 7 of their papers we have counts for
3 papers · 2 filters
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle, Michel Fornaciali, Afonso Menegola +4
Deep learning fostered a leap ahead in automated skin lesion analysis in the last two years. Those models are expensive to train and difficult to parameterize. Objective: We invest…
Knowledge Transfer for Melanoma Screening with Deep Learning
Afonso Menegola, Michel Fornaciali, Ramon Pires +3
Knowledge transfer impacts the performance of deep learning -- the state of the art for image classification tasks, including automated melanoma screening. Deep learning's greed fo…
RECOD Titans at ISIC Challenge 2017
Afonso Menegola, Julia Tavares, Michel Fornaciali +3
This extended abstract describes the participation of RECOD Titans in parts 1 and 3 of the ISIC Challenge 2017 "Skin Lesion Analysis Towards Melanoma Detection" (ISBI 2017). Althou…