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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Shafique, Nadia, Shaheen, Kaynat Bint, Sikder, Zarjis Husain, Dey, Utsho, Swacha, Sharforaz Rahman
مؤلفون آخرون:	Ashraf, Faisal Bin
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	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)
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/21934

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