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.

書誌詳細
主要な著者: Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
その他の著者: Ashraf, Faisal Bin
フォーマット: 学位論文
言語:English
出版事項: Brac University 2023
主題:
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)
オンライン･アクセス:http://hdl.handle.net/10361/21934

インターネット

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

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