Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance

Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Shah Md. Shakhawath, Alam, F M Tahoshin, Faiyaz, Hazra Mohammed Ahnaf
Beste egile batzuk:	Alam, Md Ashraful
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Convolutional neural networks Neuro-oncology Magnetic resonance imaging Ensemble models Guidance model Deep learning (Machine learning). Brain > Tumors.
Sarrera elektronikoa:	http://hdl.handle.net/10361/24008

Antzeko izenburuak

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Japanese Journal of Clinical Oncology

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