CancerCare: A reliable and secured self-supervising and interactive system using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Autores principales: | Khisa, Pushpakali, Hossain, Arisha, Raihana, Anika, Khan, Alisha, Tonu, Tamanna Sultana |
---|---|
Otros Autores: | Noor, Jannatun |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
Brac University
2024
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/22059 |
Ejemplares similares
-
Citrus leaf disease detection by image processing
por: Chowdhury, Mahir Faisal, et al.
Publicado: (2024) -
Detection of coronary artery blockage at an early stage using effective deep learning technique
por: Promit, Tahmid Ashrafee, et al.
Publicado: (2023) -
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
por: Tasnim, Sadia, et al.
Publicado: (2023) -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
por: Ismail, Sayem Mohammad, et al.
Publicado: (2021) -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
por: Mim, Ankhi Akter, et al.
Publicado: (2024)