Automatic brain tumor segmentation using U-ResUNet chain model approach
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Autori principali: | Alam, Mohd Tanjeem, Nawal, Nafisa, Nishi, Nusrat Jahan, Sahan, MD Samiul, Islam, Mohammad Tanjil |
---|---|
Altri autori: | Akhond, Mosta jur Rahman |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2022
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/16116 |
Documenti analoghi
-
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
di: Mollah, Md. Shawon, et al.
Pubblicazione: (2024) -
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
di: Khan, Abde Musavvir, et al.
Pubblicazione: (2021) -
Computer vision based skin disease detection using machine learning
di: Jayeb, Ahmad Wasiq, et al.
Pubblicazione: (2023) -
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
di: Sharma, Tanmoyee, et al.
Pubblicazione: (2021) -
An active-learning based training-schedule for biomedical image segmentation on deep neural networks
di: Hassan, Mehadi, et al.
Pubblicazione: (2021)