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.

Библиографические подробности
Главные авторы:	Faruk, Farhan, Alam, H.M. Sarwer
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	CT image Carcinoma Renal calculi Segmentation Imaging systems in medicine. Diagnostic imaging > Digital techniques. Urinary organs > Calculi. Kidneys > Calculi Renal cell carcinoma.
Online-ссылка:	http://hdl.handle.net/10361/23965

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