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.

Bibliografske podrobnosti
Main Authors:	Faruk, Farhan, Alam, H.M. Sarwer
Drugi avtorji:	Alam, Md. Golam Rabiul
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2024
Teme:	CT image Carcinoma Renal calculi Segmentation Imaging systems in medicine. Diagnostic imaging > Digital techniques. Urinary organs > Calculi. Kidneys > Calculi Renal cell carcinoma.
Online dostop:	http://hdl.handle.net/10361/23965

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