Authors:
Olga Ferrer
1
;
Francesco Ettorre
1
;
Xiomara Santos
1
;
Thomas Zinkl
2
;
Ruben Tous
2
and
Jaime Delgado
2
Affiliations:
1
University of La Laguna, Spain
;
2
Universitat Politecnica de Catalunya (UPC-BARCELONATECH), Spain
Keyword(s):
Solo-medicine, Optical biopsy, Confocal laser endomicroscopy, CLE, CBIR, Medical image retrieval, Query by image, ISO-15938-12, MPEG query format, MPQF, ISO 24800-3, JPSearch, JPEG query format, JPQF, Artificial intelligence, Multimedia standard.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Health Information Systems
;
Telemedicine
Abstract:
A way to practice Telemedicine is to access a data-base capable to assist you in medical procedures (diagnosis, treatment and prognosis), similarly to consult a book or to ask a college. In many countries the lack of specialists and training capabilities demand to practice solo-medicine, that in the case of surgery require robots capable to induce anesthesia or help in vision or handling instruments. A relevant case is the diagnostic self-training requirements for optical biopsies (OBs) obtained with confocal laser endomicroscopy (CLE) or the assistance in the diagnosis of pathology slides. In both cases it is required a training set of digital images against which to compare the question case by means of image-queryformat. The present paper present a content-based image retrieval system (CBIR) based on the MPEG Query Format Standard in order to provide a set of similar pictures and the corresponding diagnosis to help on diagnosis or just to train the doctor. The paper defined the Im
age Solo-Medicine Paradigm (ISMP) architecture merging medical image standards and MPEG and JPEG standards. It tested the solution with normal, and benign colon OBs with 90% congruency. The ISMP is of particular interest viewed the proliferation of iPhone medical applications aiming to train doctors and support medical decisions.
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