Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture

Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Opis bibliograficzny
Główni autorzy:	Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Kolejni autorzy:	Ashraf, Faisal Bin
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Skin cancer CNN model BKL Convolution layer Accuracy AUC MEL BCC AKIEC Deep learning Dermoscopic data Convolutional Neural Network NV DF ROC curve F1 score VASC Machine learning Cognitive learning theory Neural networks (Computer science)
Dostęp online:	http://hdl.handle.net/10361/21934

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