Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
Príomhchruthaitheoirí: | Datta, Nirjhor, Rashid, Md. Hasanur, Rahman, Samiur, Nodi, Naima Tahsin, Uddin, Moin |
---|---|
Rannpháirtithe: | Hossain, Muhammad Iqbal |
Formáid: | Tráchtas |
Teanga: | English |
Foilsithe / Cruthaithe: |
Brac University
2024
|
Ábhair: | |
Rochtain ar líne: | http://hdl.handle.net/10361/22838 |
Míreanna comhchosúla
-
Classification of peripheral blood cell images using deep learning
de réir: Aadi, Oyshik Ahmed, et al.
Foilsithe / Cruthaithe: (2024) -
Visual object classification from fMRI data
de réir: Newaz, Syed Mishar, et al.
Foilsithe / Cruthaithe: (2022) -
ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
de réir: Bhuiyan, Abir Ahammed, et al.
Foilsithe / Cruthaithe: (2024) -
Diabetic retinopathy detection and classification by using deep learning
de réir: Hossain, Shahriar, et al.
Foilsithe / Cruthaithe: (2022) -
Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
de réir: Reza, S. M. Mushfiq, et al.
Foilsithe / Cruthaithe: (2024)