CASPIAN JOURNAL

MANAGEMENT AND HIGH TECHNOLOGIES

CONTRAST ENHANCEMENT MAMMOGRAMS CONTAINING THE FIELD OF BREAST CANCER ON THE BACKGROUND OF FATTY INVOLUTION

Read Podgornova Yulia A., Zhiznyakov Arkady L., Sadykov Sultan S. CONTRAST ENHANCEMENT MAMMOGRAMS CONTAINING THE FIELD OF BREAST CANCER ON THE BACKGROUND OF FATTY INVOLUTION // Caspian journal : management and high technologies. — 2020. — №2. — pp. 136-147.

Podgornova Yulia A. - Murom Institute (branch) of Vladimir State University named after A. G. and N. G. Stoletov, yuliyabulanova@yandex.ru

Zhiznyakov Arkady L. - Murom Institute (branch) of Vladimir State University named after A. G. and N. G. Stoletov, lvovich1975@mail.ru

Sadykov Sultan S. - Murom Institute (branch) of Vladimir State University named after A. G. and N. G. Stoletov, sadykovss@yandex.ru

According to the International Agency for Research on Cancer, in 2018, Russia ranks fifth in cancer mortality. Every sixth woman was diagnosed with breast cancer. The only way to diagnose this disease is the timely passage of professional examinations. For women over 40 years of age, a mammary gland examination is planned using mammography. Most of the state medical institutions are equipped with outdated mammographic systems, which often do not allow obtaining images of the required quality. The presence of any type of mastopathy also complicates the diagnosis, as a result of which, on the screening mammogram, it is easy to skip the onset of the oncological tumor. It is proposed to apply wavelet transforms to increase the contrast of mammographic images, both against the background of fat involution, and against the background of fibrocystic disease and adenosis. The aim of the work is to study the approach to increasing the contrast of mammograms containing breast cancer on the background of fat involution, based on wavelet transforms. The results of experimental studies have shown the possibility of using this approach in mammography screening.

Key words: маммограмма, скрининговое исследование, контраст, линейное контрастирование, выравнивание гистограмм, эквализация, CLAHE, меры контрастности, EME, AMBE, энтропия изображений, вейвлет-преобразование, преобразование Габора, заболевание молочной железы, онко