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.

Détails bibliographiques
Auteurs principaux:	Faruk, Farhan, Alam, H.M. Sarwer
Autres auteurs:	Alam, Md. Golam Rabiul
Format:	Thèse
Langue:	English
Publié:	Brac University 2024
Sujets:	CT image Carcinoma Renal calculi Segmentation Imaging systems in medicine. Diagnostic imaging > Digital techniques. Urinary organs > Calculi. Kidneys > Calculi Renal cell carcinoma.
Accès en ligne:	http://hdl.handle.net/10361/23965

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