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

Internet

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

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