Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection

Skin cancer is among the most common cancer types worldwide. Automatic identification of skin cancer is complicated because of the poor contrast and apparent resemblance between skin and lesions. The rate of human death can be significantly reduced if melanoma skin cancer could be detected quickly u...

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Bibliographic Details
Main Authors:	Md. Mahbubur Rahman, Mostofa Kamal Nasir, Md. Nur-A-Alam, Md. Saikat Islam Khan
Format:	Article
Language:	English
Published:	Elsevier 2023-01-01
Series:	Journal of Pathology Informatics
Subjects:	Convolutional Neural Network (CNN) Histogram-Oriented Gradient (HOG) Local Binary Pattern (LBP) Speed Up Robust Feature (SURF) Hybrid Feature Extractor (HFE) Fast Bounding Box (FBB)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2153353923001554

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http://www.sciencedirect.com/science/article/pii/S2153353923001554

Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection

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