ULTRATOVUSHLI TIBBIY TASVIRLARNI SEGMENTATSIYA QILISHDA ADAPTIV MASKANI ANIQLASHTIRISH ALGORITMI
Ushbu maqolada bemorlarga tashxis qo'yishning eng samarali usullaridan biri bo'lgan ultratovush tasvirlarida bachadon miomasini segmentatsiya qilish uchun adaptive maskani aniqlashtirish algoritmi taklif etilgan. Ushbu algoritm modelda o'qitish natijasida hosil bo'lgan ehtimollik xaritasi, adaptive chegaralash va morfologik tahlil asosida yaratilgan. Segmentatsiya qilish natijasida aniqlangan noaniq chegralar, nuqtali shovqin kabi muammolarni bartaraf etish uchun chegara noaniqligi va struktura yaxlitligi kabi mezonlardan foydalanilgan. Tajriba natijalari shuni ko'rsatdiki, taklif etilayotgan yondashuv segmentatsiya qilish sifatini sezilarli darajada oshirdi. Eng yaxshi natijalar Dice koffitsenti-0.9112, IoU-0.8325, va accuracy-0.9985 ko'rsatkichlaridir.
Authors
- A. Kh. Nishanov
- Maxtumquli Jumanazarovich Mamatov
Institutions
- Tashkent University of Information Technology (UZ)
- Turkmen State Pedagogical Institute named Seidnazar Seydi (TM)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-12
- DOI
- https://doi.org/10.5281/zenodo.22718696
- Primary Topic
- Engineering and Agricultural Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00