Loading patent…
AssigneeMorgan State University
InventorsMd Mahmudur Rahman, Oyebisi Francis Layode, Tasmeer Alam
Estimating the term…
Disclosed is a content-based image retrieval (CBIR) system and related methods that serve as a diagnostic aid for diagnosing whether a dermoscopic image correlates to a skin cancer type. Systems and methods according to aspects of the invention use as a reference a set of images of pathologically confirmed benign or malignant past cases from a collection of different classes that are of high similarity to the unknown new case in question, along with their diagnostic profiles. Systems and methods according to aspects of the invention predict what class of skin cancer is associated with a particular patient skin lesion, and may be employed as a diagnostic aid for general practitioners and dermatologists.
An automated method for diagnosing a skin cancer type from a dermoscopic image, comprising:
A system for the automated diagnosing of a skin cancer type from a dermoscopic image, comprising a memory and a processor in data communication with said memory, the memory having computer executable instructions stored thereon configured to be executed by the processor to cause the system to:
A non-transitory computer-readable medium having stored thereon one or more code sections each comprising a plurality of instructions executable by one or more processors, the instructions configured to cause the one or more processors to perform the actions of an automated method for diagnosing a skin cancer type, the actions of the method comprising the steps of:
Dependencies are inferred from the claim text.