Diagnosis in sonogram of gall bladder

  • Authors:
  • Saad Tanveer;Omer Jamshaid;Abdul Mannan;Muhammad Aslam;Ana Maria Martinez-Enriquez;Afraz Zahra Syed;Gonzalo Escalada-Imaz

  • Affiliations:
  • School of CS, GIFT University, Gujranwala, Pakistan;Department of CE, NFC I. E. T., Multan, Pakistan;Department of CE, NFC I. E. T., Multan, Pakistan;Department of CS & E, UET, Lahore, Pakistan;Departmeent of CS, CINVESTAV-IPN, D.F., Mexico;Department of CS & E, UET, Lahore, Pakistan;Artificial Intelligence Research Institute, IIIA-CSIC, Spain

  • Venue:
  • MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
  • Year:
  • 2011

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Abstract

This paper describes the development and testing of a diagnostic system using sonograms. In far flung areas of under developing countries where the availability of specialists is a problem and sometimes not even a possibility, it is highly beneficial to have on site diagnosis computer application to support medical staff. Diagnose of sonograms to identify infected part in offline scenarios is not always easy. Besides, lack of infrastructure does not permit online solutions to be a practical option. We implement a system named Intelligent-Eye (I-Eye) which employs imaging and diagnostic techniques to support in the gallbladder diagnosis, saving time and cost of operating medical procedures. We implemented an algorithm highly capable of being used on different diagnostic ultrasonography machines, generating accurate information reports and diagnosis.