Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images

Vatsala Anand; Sheifali Gupta; Deepika Koundal; Karamjeet Singh

doi:10.1016/j.eswa.2022.119230

ScienceGate Book Chapters

JOURNAL ARTICLE

Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images

Vatsala Anand Sheifali Gupta Deepika Koundal Karamjeet Singh

Year: 2022 Journal: Expert Systems with Applications Vol: 213 Pages: 119230-119230 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.119230

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Skin lesion Artificial intelligence Convolutional neural network Segmentation Pattern recognition (psychology) Convolution (computer science) Skin cancer Deep learning Artificial neural network Stage (stratigraphy) Pathology Cancer Medicine

Metrics

228

Cited By

33.67

FWCI (Field Weighted Citation Impact)

Refs

1.00

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

Optical Coherence Tomography Applications

Physical Sciences → Engineering → Biomedical Engineering

Fusion of U-Net and CNN model for segmentation and classification of skin lesion from dermoscopy images

Metrics

Citation History

Topics

Related Documents

Skin lesion segmentation of dermoscopy images using U-Net

Assesment dermoscopy images of skin lesion using U-Net segmentation for clinicians teledermatology

Accurate Skin Lesion Segmentation through Feature Fusion in Dermoscopy Images

Performance Evaluation of U-Net Based Methods for Lesion Segmentation from Dermoscopy Images

Skin Lesion Segmentation Using U-Net