Data, Depth, and Design: Learning Reliable Models for Skin Lesion
Analysis

v1v2v3v4 (latest)

Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis

1 November 2017

Michel Fornaciali

Afonso Menegola

ArXiv (abs)PDF HTML

Papers citing "Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis"

8 / 8 papers shown

Title
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network Ibrahim Saad Ali Mamdouh Farouk Mohamed Y. B. Mahdy GAN MedIm 54 122 0 25 Oct 2019
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification Fábio Perez Sandra Avila Eduardo Valle 67 56 0 29 Apr 2019
(De)Constructing Bias on Skin Lesion Datasets Alceu Bissoto Michel Fornaciali Eduardo Valle Sandra Avila 63 71 0 18 Apr 2019
Skin Lesion Synthesis with Generative Adversarial Networks Alceu Bissoto Fábio Perez Eduardo Valle Sandra Avila GAN MedIm 59 100 0 08 Feb 2019
Guiding the Creation of Deep Learning-based Object Detectors Ángela Casado Jónathan Heras ObjD VLM 18 4 0 06 Sep 2018
Data Augmentation for Skin Lesion Analysis Fábio Perez C. N. Vasconcelos Sandra Avila Eduardo Valle MedIm 82 171 0 05 Sep 2018
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018 Alceu Bissoto Fábio Perez Vinícius Ribeiro Michel Fornaciali Sandra Avila Eduardo Valle 50 43 0 25 Aug 2018
Lesion segmentation using U-Net network Adrien Motsch Sébastien Motsch T. Saguet SSeg 16 0 0 23 Jul 2018