ENDOSKOPIK TASVIRLARDA OSHQOZON YARALARINI ANIQLASH UCHUN SUN’IY INTELLEKT TEXNOLOGIYALARINING QO‘LLANILISHI

Aziza Jalgasbayeva; Nazokat Sabitova

doi:10.5281/zenodo.20269835

Mualliflar

Jalgasbayeva Aziza Artiqbaevna Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti magistranti, Toshkent, O‘zbekiston
Sabitova Nazokat Qobuljon qizi Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti Kompyuter tizimlari kafedrasi asistenti, Toshkent, O‘zbekiston

Annotatsiya

Ushbu tadqiqotda endoskopik tasvirlarda oshqozon yaralarini RetinaNet modeli yordamida avtomatik aniqlash va klassifikatsiya qilish masalasi yoritilgan. Tadqiqot davomida Kvasir, HyperKvasir, GastroVision va Kvasir-Capsule ma’lumotlar bazalaridan foydalanilib, maxsus o‘quv tanlanma shakllantirildi. Tasvirlarga dastlabki ishlov berish bosqichida CLAHE, Median Filter va Telea Inpainting algoritmlari qo‘llanildi hamda augmentatsiya usullari orqali o‘quv tanlanma kengaytirildi. RetinaNet modeli endoskopik tasvirlar asosida o‘qitilib, uning ishlash samaradorligi Precision, Recall va mAP ko‘rsatkichlari asosida baholandi. Tajriba natijalari modelning oshqozon yaralarini aniqlashda yuqori samaradorlikka ega ekanligini ko‘rsatdi.

Kalit soʻzlar:

endoskopik tasvirlar oshqozon yarasi sun'iy intellekt kompyuter ko‘rish RetinaNet dastlabki ishlov berish augmentatsiya Focal Loss Feature Pyramid Network.

Iqtiboslar

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ENDOSKOPIK TASVIRLARDA OSHQOZON YARALARINI ANIQLASH UCHUN SUN’IY INTELLEKT TEXNOLOGIYALARINING QO‘LLANILISHI

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