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Towards Automated Melanoma Screening: Proper Computer Vision & Reliable
  Results
v1v2v3 (latest)

Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results

14 April 2016
Michel Fornaciali
Micael Carvalho
F. Bittencourt
Sandra Avila
Eduardo Valle
ArXiv (abs)PDFHTML

Papers citing "Towards Automated Melanoma Screening: Proper Computer Vision & Reliable Results"

14 / 14 papers shown
Soft-Attention Improves Skin Cancer Classification Performance
Soft-Attention Improves Skin Cancer Classification PerformancemedRxiv (medRxiv), 2021
S. Datta
Mohammad Abuzar Shaikh
H. Srihari
Mingchen Gao
314
142
0
05 May 2021
Less is More: Sample Selection and Label Conditioning Improve Skin
  Lesion Segmentation
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion Segmentation
Vinícius Ribeiro
Sandra Avila
Eduardo Valle
237
14
0
28 Apr 2020
Data Augmentation for Skin Lesion using Self-Attention based Progressive
  Generative Adversarial Network
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial NetworkExpert systems with applications (ESWA), 2019
Ibrahim Saad Ali
Mamdouh Farouk Mohamed
Y. B. Mahdy
GANMedIm
160
137
0
25 Oct 2019
Handling Inter-Annotator Agreement for Automated Skin Lesion
  Segmentation
Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation
Vinícius Ribeiro
Sandra Avila
Eduardo Valle
197
26
0
06 Jun 2019
Solo or Ensemble? Choosing a CNN Architecture for Melanoma
  Classification
Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification
Fábio Perez
Sandra Avila
Eduardo Valle
232
61
0
29 Apr 2019
Skin Lesion Synthesis with Generative Adversarial Networks
Skin Lesion Synthesis with Generative Adversarial Networks
Alceu Bissoto
Fábio Perez
Eduardo Valle
Sandra Avila
GANMedIm
316
112
0
08 Feb 2019
Data Augmentation for Skin Lesion Analysis
Data Augmentation for Skin Lesion Analysis
Fábio Perez
C. N. Vasconcelos
Sandra Avila
Eduardo Valle
MedIm
234
185
0
05 Sep 2018
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis,
  Classification: RECOD Titans at ISIC Challenge 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
185
47
0
25 Aug 2018
Unsupervised and semi-supervised learning with Categorical Generative
  Adversarial Networks assisted by Wasserstein distance for dermoscopy image
  Classification
Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
176
55
0
10 Apr 2018
Data, Depth, and Design: Learning Reliable Models for Skin Lesion
  Analysis
Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis
Eduardo Valle
Michel Fornaciali
Afonso Menegola
Julia Tavares
F. Bittencourt
Lin Tzy Li
Sandra Avila
483
25
0
01 Nov 2017
Knowledge Transfer for Melanoma Screening with Deep Learning
Knowledge Transfer for Melanoma Screening with Deep Learning
Afonso Menegola
Michel Fornaciali
Ramon Pires
F. Bittencourt
Sandra Avila
Eduardo Valle
MedIm
189
198
0
22 Mar 2017
RECOD Titans at ISIC Challenge 2017
RECOD Titans at ISIC Challenge 2017
Afonso Menegola
Julia Tavares
Michel Fornaciali
Lin Tzy Li
Sandra Avila
Eduardo Valle
323
120
0
14 Mar 2017
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy ImagesIBM Journal of Research and Development (IBM J. Res. Dev.), 2016
Noel Codella
Q. Nguyen
Sharath Pankanti
David Gutman
Brian Helba
Allan Halpern
John R. Smith
385
585
0
14 Oct 2016
Towards Automated Melanoma Screening: Exploring Transfer Learning
  Schemes
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola
Michel Fornaciali
Ramon Pires
Sandra Avila
Eduardo Valle
MedIm
421
44
0
05 Sep 2016
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