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Few-shot Learning for Medical Image Segmentation/ Muhammad Saqib Irshad,

TextIslamabad: SEECS NUST. 2025Subject(s): MS-Computer ScienceDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-7707

Total holds: 0

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Previous	200 Machine Learning–Based Assessment of Interdisciplinary Education: Integrating Academic, Behavioral, and Psychological Insights/	200 Brain Tumor Detection and Classification using Deep Learning/	200 Leveraging Large Language Models for Generating Legal Case Annotations/	200 Few-shot Learning for Medical Image Segmentation/	200 INTERNATIONAL STUDY TRIP UNIVERSITY OF ALTINBAS & TURKISH AEROSPACE INDUSTRIES, TURKEY/	200 INTERNATIONAL STUDY TRIP AZERBAIJAN TECHNICAL UNIVERSITY & ULDUZ CHOCOLATE FACTORY, AZERBAIJAN/	200 Digitalization, Carbon Productivity and the Moderating Role of Urban Development/	Next

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