Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks

Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks

BackgroundSkin cancer is one of the most prevalent cancers worldwide. In the clinical domain, skin lesions such as melanoma detection are still a challenge due to occlusions, poor contrast, poor image quality, and similarities between skin lesions. Deep-/machine-learning methods are used for the ear...

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Bibliographic Details
Main Authors: Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Medicine
Subjects:
skin lesion
compact convolution transformer
tokenizer
dermoscopy
hybrid loss
ResNet-34
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1524146/full
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