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.

Библиографические подробности
Главные авторы:	Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Другие авторы:	Ashraf, Faisal Bin
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	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-ссылка:	http://hdl.handle.net/10361/21934

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