Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation

Saqib Qamar; Parvez Ahmad; Linlin Shen

doi:10.1007/s12559-020-09805-6

ScienceGate Book Chapters

JOURNAL ARTICLE

Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation

Saqib Qamar Parvez Ahmad Linlin Shen

Year: 2021 Journal: Cognitive Computation Vol: 13 (2)Pages: 583-594 Publisher: Springer Science+Business Media

DOI: 10.1007/s12559-020-09805-6

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Encoder Segmentation Convolutional neural network Artificial intelligence Pattern recognition (psychology) Jaccard index Deep learning Pyramid (geometry) Pooling Computer vision Mathematics

Metrics

Cited By

4.09

FWCI (Field Weighted Citation Impact)

Refs

0.95

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Cutaneous Melanoma Detection and Management

Health Sciences → Medicine → Oncology

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Nonmelanoma Skin Cancer Studies

Health Sciences → Medicine → Epidemiology

Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation

Metrics

Citation History

Topics

Related Documents

Skin Lesion Semantic Segmentation Using Convolutional Encoder Decoder Architecture

Transfer Learning-Based Encoder-Decoder Model for Skin Lesion Segmentation

Embedded Skin Lesion Segmentation using Lightweight Encoder-Decoder Architectures

Lightweight encoder-decoder model for automatic skin lesion segmentation

Dense Pyramid Context Encoder-Decoder Network for Kidney Lesion Segmentation