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

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