Publications by authors named "Majid Razmara"
Article Synopsis
- The study aimed to evaluate how well mobile phone-powered AI algorithms perform compared to clinicians in diagnosing and managing pigmented skin lesions in a clinical setting.
- Researchers conducted a multicentre trial in Australia and Austria, involving both specialist clinicians and novice junior doctors to assess their accuracy against two AI diagnostic tools.
- The main outcomes measured included the accuracy of diagnosis and management decisions, with the AI's performance compared to that of experts and novices based on histopathological examination and monitoring methods.
A novel method for detection of pigment network in dermoscopic images using graphs.
Comput Med Imaging Graph
March 2011
We describe a novel approach to detect and visualize pigment network structures in dermoscopic images, based on the fact that the edges of pigment network structures form cyclic graphs which can be automatically detected and analyzed. First we perform a pre-processing step of image enhancement and edge detection. The resulting binary edge image is converted to a graph and the defined feature patterns are extracted by finding cyclic subgraphs corresponding to skin texture structures.
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