Detection and 3D visualization of Brain tumor using deep learning and polynomial interpolation
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.
Autores principales: | Tuhin, Md. Akram Hossan, Pramanick, Tarunya, Emon, Humayoun Kabir, Rahman, Wasiur |
---|---|
Otros Autores: | Alam, Md. Ashraful |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
Brac University
2019
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/12301 |
Ejemplares similares
-
Detecting brain tumor using deep neural networks from MRI images
por: Imamuzzaman, A.S.M., et al.
Publicado: (2021) -
In-depth analysis of deep learning architectures for brain tumor classification in MRI scans
por: Haque, Hossain MD. Hasibul, et al.
Publicado: (2024) -
A review on the occurrence of brain tumor in adults and pediatrics and the associated risk factors
por: Bhuiya, Nabila
Publicado: (2023) -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
por: Farzana, Maisha, et al.
Publicado: (2021) -
3D printing technology for visually impaired patients- a review
por: Shanta, Ayesha Kabir
Publicado: (2022)