Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions

Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions

Convolutional neural network (CNN) models have been extensively applied to skin lesions segmentation due to their information discrimination capabilities. However, CNNs’ struggle to capture the connection between long-range contexts when extracting deep semantic features from lesion images, resultin...

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Bibliographic Details
Main Authors: Sannia Arshad, Tehmina Amjad, Ayyaz Hussain, Imran Qureshi, Qaisar Abbas
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Diagnostics
Subjects:
skin lesion disease
convolutional neural networks
UNet model
loss function
transfer learning
semantic segmentation
Online Access:https://www.mdpi.com/2075-4418/13/18/2924

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