SYSTEM AND METHOD FOR DIAGNOSIS OF DISEASES FROM MEDICAL IMAGES

A system for diagnosis of diseases is disclosed. The system receives a medical image and. converts resolution of the medical image into a predefined resolution to obtain a sample image. The system obtains an intensity value matrix upon converting the sample image into gray scale image and obtain a t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Rajasekhar, Nuvvusetty, CHERUVU, ARAVIND, REDDY, GALI SURESH, KIRAN, VANGIPURAM SRAVAN, RADHAKRISHNA, VANGIPURAM, KUMAR, GUNUPUDI RAJESH, Aljawarneh, Shadi Abdel Rahman, JANAKI, VINJAMURI, Nagaraja, Arun, MANGATHAYARU, NIMMALA
Format: Patent
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A system for diagnosis of diseases is disclosed. The system receives a medical image and. converts resolution of the medical image into a predefined resolution to obtain a sample image. The system obtains an intensity value matrix upon converting the sample image into gray scale image and obtain a testing data set by converting the intensity value matrix into a test row vector. The system includes a dimensionality reduction module to generate a dimensionality reduced test matrix based on the testing data set and a transformation training matrix obtained from a training data set. The system includes a similarity identification module to identify a similarity value of each row vector of the dimensionality reduced test matrix with a dimensionality reduced training matrix. The system includes a disease classification module to assign a class label of a training row vector to the test row vector based on a maximum similarity value and identify a type of disease present in the medical based on the class label. Server Processing subsystem Image Acquisition module Resolution Image pre- 240 230 conversion -> processing . module Module Similarity Dimensionality 250 identification reduction module module Disease 270 identification module _____.