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A superpixel-driven deep learning approach for the analysis of
  dermatological wounds

A superpixel-driven deep learning approach for the analysis of dermatological wounds

13 September 2019
G. Blanco
A. J. Traina
C. Traina
P. M. A. Marques
A. E. Jorge
Daniel de Oliveira
M. Bedo
ArXivPDFHTML

Papers citing "A superpixel-driven deep learning approach for the analysis of dermatological wounds"

4 / 4 papers shown
Title
Image Based Artificial Intelligence in Wound Assessment: A Systematic
  Review
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
D. Anisuzzaman
Chuanbo Wang
Behrouz Rostami
Sandeep Gopalakrishnan
J. Niezgoda
Zeyun Yu
20
63
0
15 Sep 2020
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
Manu Goyal
Saeed Hassanpour
MedIm
4
20
0
15 Jul 2020
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
340
10,633
0
19 Feb 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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