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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

25 August 2018
Alceu Bissoto
Fábio Perez
Vinícius Ribeiro
Michel Fornaciali
Sandra Avila
Eduardo Valle
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Papers citing "Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018"

3 / 3 papers shown
Title
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Hritam Basak
Rohit Kundu
R. Sarkar
29
67
0
27 Mar 2022
Evaluating Deep Neural Networks Trained on Clinical Images in
  Dermatology with the Fitzpatrick 17k Dataset
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology with the Fitzpatrick 17k Dataset
Matthew Groh
Caleb Harris
L. Soenksen
Felix Lau
Rachel Han
Aerin Kim
A. Koochek
Omar Badri
112
184
0
20 Apr 2021
SLSNet: Skin lesion segmentation using a lightweight generative
  adversarial network
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network
Md. Mostafa Kamal Sarker
Hatem A. Rashwan
Farhan Akram
V. Singh
Syeda Furruka Banu
...
Kabir Ahmed Choudhury
Sylvie Chambon
Petia Radeva
D. Puig
M. Abdel-Nasser
GAN
MedIm
39
27
0
01 Jul 2019
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