Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

Abstract Background Melanoma is the most dangerous and aggressive form among skin cancers, exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are standard procedures for skin cancer detection and prevention in clinical settings. A significant step in the diagnosis proc...

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Bibliographic Details
Main Authors: Ranpreet Kaur, Hamid GholamHosseini, Roopak Sinha, Maria Lindén
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Imaging
Subjects:
Skin cancer
Lesion segmentation
CNN
Deep learning
Online Access:https://doi.org/10.1186/s12880-022-00829-y

Internet

https://doi.org/10.1186/s12880-022-00829-y

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