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Learning Based Segmentation of Skin Lesion from Dermoscopic Images / Muhammad Ammar

By: Ammar, Muhammad Contributor(s): Dr. Muhammad Usman Akram Material type: Text

TextPublisher: Islamabad : CEME - NUST, 2018Description: xi, 54 p. : ill. ; 30cmSubject(s): Computer Engineering - MS ThesisDDC classification: 621.39

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	621.39 (Browse shelf)	Available		CL-T-334

Total holds: 0

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Previous	621.39 Estimation of Congestion of Pilgrims in Hajj and Umrah Congregation Using Image and Video Analytic /	621.39 Classification of MRCP using Hybrid Features and Methods Classifier /	621.39 Spectrum Sensing & Availability of White Spaces /	621.39 Learning Based Segmentation of Skin Lesion from Dermoscopic Images /	621.39 Automated Detection of Wet Aged Related Macular Degeneration Using Optical Coherence Tomographic Images /	621.39 Efficient Prediction of Epileptic Seizures using Electroencephalogram (EEG) signals based on Statistical and Spectral Features /	621.39 NOVEL DISEASE NAMED ENTITY RECOGNITION (DNER) & HYBRID RELATION EXTRACTION (HRE) FRAMEWORKS FOR BIOMEDICAL TEXT /	Next