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.

Bibliografische gegevens
Hoofdauteurs:	Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Andere auteurs:	Ashraf, Faisal Bin
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	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)
Online toegang:	http://hdl.handle.net/10361/21934

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