Modified U-NET Architecture for Segmentation of Skin Lesion

Modified U-NET Architecture for Segmentation of Skin Lesion

Dermoscopy images can be classified more accurately if skin lesions or nodules are segmented. Because of their fuzzy borders, irregular boundaries, inter- and intra-class variances, and so on, nodule segmentation is a difficult task. For the segmentation of skin lesions from dermoscopic pictures, se...

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Bibliographic Details
Main Authors: Vatsala Anand, Sheifali Gupta, Deepika Koundal, Soumya Ranjan Nayak, Paolo Barsocchi, Akash Kumar Bhoi
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
image analysis
segmentation
skin disease
U-Net
deep learning
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/22/3/867

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https://www.mdpi.com/1424-8220/22/3/867

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