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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
Άλλοι συγγραφείς: Ashraf, Faisal Bin
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2023
Θέματα:
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)
Διαθέσιμο Online:http://hdl.handle.net/10361/21934

Διαδίκτυο

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

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