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.

Dades bibliogràfiques
Autors principals: Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Altres autors: Ashraf, Faisal Bin
Format: Thesis
Idioma:English
Publicat: Brac University 2023
Matèries:
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)
Accés en línia:http://hdl.handle.net/10361/21934

Internet

http://hdl.handle.net/10361/21934

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