Iranian Congress of Radiology

Iranian Congress of Radiology

A NOVEL APPROACH TO BREAST TUMOR CLASSIFICATION IN ULTRASOUND IMAGES BASED ON THE IMPROVED INCEPTION-V3 MODEL

Authors
Nasim Sirjani
Mostafa Ghelich Oghli
Masoumeh Gity
Tarzamni Mohammad Kazem
Ali Shabanzadeh
Vahid Ashkani
Eman Showkatian
Ardavan Akhavan
Research and Development Department, Med Fanavarn Plus Co., Karaj, Iran
10.22034/icrj.2022.173654
Abstract
One of the most significant reasons for women’s decease is breast cancer. So, swift diagnosis and proper remedy have conspicuous roles in breast cancer control and its rate reduction among women.  Reliable and precise detection is highly critical to specialists. As mammography and ultrasound (US) imaging are two prevalent screening modalities for breast anomalies detection, the mass of physicians use them. However, the procedure of mammography is time-consuming and painful, contrary to ultrasound imaging. But it’s more authentic. In this study, by intending to assist doctors, we have utilized the improved InceptionV3 structure to classify ultrasound breast lesions into two classes: malignant and benign.
Iranian Congress of Radiology
Volume 37, Issue 1
Summer 2022
Pages 12-12

  • Receive Date 29 June 2023