An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model

An approach to the dermatological classification of histopathological skin images using a hybridized CNN-DenseNet model

This research addresses the challenge of automating skin disease diagnosis using dermatoscopic images. The primary issue lies in accurately classifying pigmented skin lesions, which traditionally rely on manual assessment by dermatologists and are prone to subjectivity and time consumption. By integ...

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Bibliographic Details
Main Authors: Anubhav De, Nilamadhab Mishra, Hsien-Tsung Chang
Format: Article
Language:English
Published: PeerJ Inc. 2024-02-01
Series:PeerJ Computer Science
Subjects:
Convolutional neural networks
Hybridized densenet model
Multiclass classification
Confocal microscopy analysis
Skin histopathological image analysis
Skin disease classification
Online Access:https://peerj.com/articles/cs-1884.pdf

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https://peerj.com/articles/cs-1884.pdf

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