Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification

Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliographic Details
Main Authors: Faruk, Farhan, Alam, H.M. Sarwer
Other Authors: Alam, Md. Golam Rabiul
Format: Thesis
Language:English
Published: Brac University 2024
Subjects:
CT image
Carcinoma
Renal calculi
Segmentation
Imaging systems in medicine.
Diagnostic imaging > Digital techniques.
Urinary organs > Calculi.
Kidneys > Calculi
Renal cell carcinoma.
Online Access:http://hdl.handle.net/10361/23965

Internet

http://hdl.handle.net/10361/23965

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