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.

Dettagli Bibliografici
Autori principali:	Faruk, Farhan, Alam, H.M. Sarwer
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	CT image Carcinoma Renal calculi Segmentation Imaging systems in medicine. Diagnostic imaging > Digital techniques. Urinary organs > Calculi. Kidneys > Calculi Renal cell carcinoma.
Accesso online:	http://hdl.handle.net/10361/23965

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