In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Κύριοι συγγραφείς: | Haque, Hossain MD. Hasibul, Apon, MD. Sayeed Arefin, Chowdhury, Dhrubo Rashid, Imtiaz, Shahriar Islam, Mahi, Nishat Tasnim |
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Άλλοι συγγραφείς: | Karim, Dewan Ziaul |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
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Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/24166 |
Παρόμοια τεκμήρια
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An efficient ML approach to detect brain tumor using MRI images
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Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
ανά: Farzana, Maisha, κ.ά.
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Enhancing multiclass brain tumor classification using deep learning: leveraging superior imaging representations to improve inferior modality performance
ανά: Hossain, Shah Md. Shakhawath, κ.ά.
Έκδοση: (2024)