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Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional
  Network to Learn from the Lesion

Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion

16 May 2023
N. Lama
R. Stanley
Anand K. Nambisan
Akanksha Maurya
J. Hagerty
W. Stoecker
    MedIm
ArXivPDFHTML

Papers citing "Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion"

4 / 4 papers shown
Title
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,639
0
19 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
312
10,237
0
16 Nov 2016
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Noel Codella
Q. Nguyen
Sharath Pankanti
David Gutman
Brian Helba
Allan Halpern
John R. Smith
47
527
0
14 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
336
36,437
0
25 Aug 2016
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