Dr. Muhammad Usman Akram
Catalogue records by Dr. Muhammad Usman Akram in the PakCat Union Catalogue.
29 catalogue recordsCatalogue records
An Architectural Framework for HMIS based on Internet of Things
Muhammad, Amna Pir
Year not listed
An Expert System Framework for Recommendation of Restaurants on Basis of Qualitative Analysis
Abbas, Shanza
2015
Automated Detection of Glaucoma using Color Fundus Image
Haider, Syed Rizwan
2011
Automated Glaucoma Detection using Retinal Layers Segmentation and Optic Cup to Disc Ratio in OCT Images by
Ramzan, Aneeqa
2018
Automated Segmentation of Retinal Layers for the Detection of Diabetic Macular Edema using OCT Images
Naz, Samra
2016
Classification of MRCP using Hybrid Features and Methods Classifier
Zafar, Madeeha
2015
Cross Sectional Survey Based Intelligent Framework for the Diagnosis of Frozen Shoulder
Sayyada Humaira Batool
2016
Designing a Framework for Standardization of Ophthalmic Imaging Data using DICOM
Muhammad Usman
2015
Detection of Anemia by Digital Photography of Palpebral Conjunctiva
Irum, Attia
2016
Detection of New Vessels on Optics Disc in Fundus Images
Azam, Aniqa
2014
Diagnosis of Chroidal Neovasculazrization and Detection of Drusens for Diagnosis of AMD Using Retinal OCT Images
Ayaz, Sadaf
2015
Diagnosis of Sciatica based on Cross Sectional Study and Analysis
Hussain, Fatima
2016
DWT and HRV Based ECG Biometric Identification for Healthy and Cardiac Patients
Dar, Muhammad Najam
2015
Fingerprint Matching Using Relaxation Local Greedy Search &Automated Detection of Partial Fingerprint Images
Ejaz, Adeel
Year not listed
Fundus Image Analysis for Detection of Papilledema
Fatima, Khush Naseeb
2016
HIGH RESOLUTION OCT IMAGE GENERATION USING SUPER RESOLUTION VIA SPARSE REPERESENTATION
Muhammad Asif
2016
Joins in Document Based Databases
Kanwal, Aliya
2017
Leaf Recognition Using Deep Convolutional Neural Network
Muhammad Zeeshan Asaf
2017
Learning Based Segmentation of Skin Lesion from Dermoscopic Images
Ammar, Muhammad
2018
Localization and Classification of Heart Sounds using PCG Signals
Mubarak, Qurat-ul-ain
2018