Тип публикации: статья из журнала
Год издания: 2023
Идентификатор DOI: 10.34219/2306-3645-2023-13-2-5-13
Аннотация: <jats:p>The aim of the work is to develop a method for extracting a breast tumor and an uninfected area of the breast within the framework of medical imaging using a combination of fuzzy clustering with discrete wavelet transform (FCMDWT) tools. Two sets of mammographic breast image data were used in the study: a subset of breast iПоказать полностьюmages of a digital base mammography screening data (CBIS-DDSM) and private data set. Contrast enhancement techniques were used to improve image quality before using FCMDWT for tumor segmentation and analysis. To assess the accuracy of tumor isolation metrics such as the Dice coefficient (F1 score) and intersection by union (IoU) were used. The mean IoU was 98.41 and F1 score was 96.47 using the proposed FCMDWT.</jats:p>
Журнал: Медицина и высокие технологии
Выпуск журнала: Т.13, №2
ISSN журнала: 23063645
Место издания: Москва
Издатель: Общественная организация Московское отделение "Качество информационных технологий в системах управления" Академии проблем качества, ГУП «Отраслевой научно-практический комплекс «Здоровье», ООО «Инкеля»