Related Experiment Video
Updated: Jun 28, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Automatic medical image classification for content based image retrieval systems
Epaphrodite Uwimana1, Miguel E Ruiz
1State University of New York at Buffalo, Buffalo, USA.
Abstract:
This paper discusses results and methods used to automatically classify medical images for Content Based Image Retrieval (CBIR) systems. Using a supervised learning approach, we automatically classified over 3,000 medical images according to the four facets of IRMA classification code (that's image modality, body orientation, biological system, and anatomical part). Our best results were obtained in the image modality facet classification with an overall error-rate of 1%.
Related Concept Videos
Classification of Systems-II
Classification of Systems-I
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Imaging Studies IV: Magnetic Resonance Imaging
Imaging Biological Samples with Optical Microscopy
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Magnetic Resonance Imaging
