159 citations · 345 across the 7 of their papers we have counts for
7 papers
(De)Constructing Bias on Skin Lesion Datasets
Alceu Bissoto, Michel Fornaciali, Eduardo Valle +1
Melanoma is the deadliest form of skin cancer. Automated skin lesion analysis plays an important role for early detection. Nowadays, the ISIC Archive and the Atlas of Dermoscopy da…
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
Alceu Bissoto, Fábio Perez, Vinícius Ribeiro +3
This extended abstract describes the participation of RECOD Titans in parts 1 to 3 of the ISIC Challenge 2018 "Skin Lesion Analysis Towards Melanoma Detection" (MICCAI 2018). Altho…
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…
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola, Michel Fornaciali, Ramon Pires +2
Deep learning is the current bet for image classification. Its greed for huge amounts of annotated data limits its usage in medical imaging context. In this scenario transfer learn…
Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results
Michel Fornaciali, Micael Carvalho, Flávia Vasques Bittencourt +2
In this paper we survey, analyze and criticize current art on automated melanoma screening, reimplementing a baseline technique, and proposing two novel ones. Melanoma, although hi…