مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

189
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

160
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR

Pages

  45-52

Abstract

 Applications of SOFT COMPUTING techniques have been concentrated for management of the uncertainty associated to the medical diagnosis in the recent decade. This article presents a Fuzzy Expert System (FES) for diagnose of metastasis in the liver which is one of the most common malignant hepatic tumors. Furthermore, the proposed FES has been optimized using a GENETIC ALGORITHM. The purpose of the hybrid FUZZY-GA approach is to adjust the FES parameters to enhance the system accuracy while the system interpretability has been kept. To experiment the proficiency of the intelligent FUZZY-GA model, the performance of the system was evaluated with real dataset of patients gathered from the Noor Medical Imaging Center in Tehran. The FES performance was compared to the diagnosis of specialists before and after optimization with the GA. The results demonstrate that this system has a high capability in the management of uncertainty in the diagnosis with a high accuracy. The hybrid FUZZY-GA approach for hepatic tumors diagnosis is promising to assistant the specialists for early diagnosis of the cancer and saving more lives.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    AMIRHOSSEINI, BANAFSHEH, HOSSEINI, RAHIL, & MAZINANI, MAHDI. (2016). A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(1), 45-52. SID. https://sid.ir/paper/727639/en

    Vancouver: Copy

    AMIRHOSSEINI BANAFSHEH, HOSSEINI RAHIL, MAZINANI MAHDI. A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2016;5(1):45-52. Available from: https://sid.ir/paper/727639/en

    IEEE: Copy

    BANAFSHEH AMIRHOSSEINI, RAHIL HOSSEINI, and MAHDI MAZINANI, “A HYBRID FUZZY-GA APPROACH APPLIED TO AN EXPERT SYSTEM FOR DIAGNOSIS OF LIVER TUMOR,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 5, no. 1, pp. 45–52, 2016, [Online]. Available: https://sid.ir/paper/727639/en

    Related Journal Papers

  • No record.
  • Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button