Brain hemorrhage detection using hybrid machine learning algorithm

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalles Bibliográficos
Autores principales:	Iqbal, Khondoker Nazia, Azad, Istinub, Emon, Md. Imdadul Haque, Amlan, Nibraj Safwan, Aporna, Amena Akter
Otros Autores:	Islam, Md. Saiful
Formato:	Tesis
Lenguaje:	English
Publicado:	Brac University 2022
Materias:	Hybrid machine learning Convolutional neural network (CNN) Multilayer Perceptron Model (MLP) Random Forest (RF) VGG-16 VGG-19 Brain hemorrhage Explainable AI Machine learning Neural networks (Computer science) Computational intelligence. Mathematical logic.
Acceso en línea:	http://hdl.handle.net/10361/16907

Descripción
Sumario:	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

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