Normo‘minov, Akbar (2025) KT TASVIRLARIDA O‘PKA TUGUNLARINI SEGMENTATSIYA QILISH UCHUN SUN’IY INTELLEKT YONDASHUVLARINING SAMARADORLIGI. INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; Vol. 2 No. 10 (2025): INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION; 248-250.
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Abstract
O‘pka tugunlarini aniqlash va segmentatsiya qilish o‘pka saratonini erta bosqichda tashxislashda muhim ahamiyatga ega. KT tasvirlari diagnostikada keng qo‘llanilsa-da, ularni qo‘lda tahlil qilish ko‘p vaqt talab qiladi va subyektiv xatolarga olib kelishi mumkin. Sun’iy intellekt algoritmlari, xususan chuqur o‘rganish asosidagi segmentatsiya modellarining qo‘llanilishi bu jarayonni avtomatlashtirish imkonini beradi. Ushbu maqolada U-Net [1], Mask R-CNN [2] va 3D CNN [3] kabi yondashuvlarning samaradorligi adabiyotlar va tajriba natijalari asosida tahlil qilinadi.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from International Conference on Medicine, Science, and Education |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 26 Sep 2026 22:27 |
| Last Modified: | 26 Sep 2026 22:27 |
| URI: | https://universalpublishings.uz/id/eprint/12852 |
