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Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation
Saqib Qamar, Parvez Ahmad,
Linlin Shen
Research output
:
Journal Publication
›
Article
›
peer-review
37
Citations (Scopus)
Overview
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Keyphrases
Competitive Performance
20%
Contextual Information
20%
Convolutional Neural Network
40%
Decoder
20%
Deep Learning Methods
20%
Densely Connected Network
80%
Dilation Rate
40%
Encoder
100%
Encoder-decoder
20%
Encoder-decoder Architecture
20%
Feature Map
20%
Initial Diagnosis
20%
ISIC 2018
20%
Jaccard Index
20%
Long Skip Connection
60%
Medical Image Segmentation
20%
Melanoma
20%
Multi-scale Contextual Information
20%
Multi-scale Features
20%
Multi-scale Information
20%
Network Applications
20%
Network Architecture
20%
Pre-trained Features
20%
Precise Segmentation
20%
Rapid Growth
20%
Residual Network
80%
Segmentation Problem
20%
Segmentation-based
20%
Skin Cancer
20%
Skin Lesion Segmentation
100%
Skin Lesions
20%
Spatial Pyramid Pooling
60%
U-Net
20%
U-Net Architecture
20%
Computer Science
Connected Network
80%
Contextual Information
40%
Convolutional Neural Network
40%
Deep Learning Technique
20%
Image Segmentation
20%
Lesion Segmentation
100%
Network Architecture
20%
Residual Neural Network
80%
Segmentation Task
20%