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.

Dettagli Bibliografici
Autori principali:	Iqbal, Khondoker Nazia, Azad, Istinub, Emon, Md. Imdadul Haque, Amlan, Nibraj Safwan, Aporna, Amena Akter
Altri autori:	Islam, Md. Saiful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	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.
Accesso online:	http://hdl.handle.net/10361/16907

Descrizione
Riassunto:	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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