Sun'iy intellekt tizimidagi machine learning metodologiyasidan foydalanib prostata saratonini aniqlash

Mualliflar

Kalit so‘zlar: Yolov, Gleason, Super Speed Dual Pixel, Convolutional Neyron Networks, Nikon eclipse

Annotatsiya

Ushbu maqola mashinani o‗rganishga va chuqur o‗rganishga asoslangan ko‗plab usullar sinab ko‗rildi. Xususan, chuqur oʻrganishga asoslangan umumiy maqsadli obyektni aniqlash algoritmlari boʻlgan R-CNN, Fast R-CNN, Faster R-CNN, SSD va Yolov kabi koʻplab algoritmlar operatsion unumdorlik, aniqlash va tasniflash aniqligi nuqtayi naz- aridan baholandi. Baholashlar natijasida Yolov algoritmi biz ushbu tadqiqotda maqsad qilgan avtomatik diagnostika tizimi uchun eng mosi tanlandi. Chunki Yolov algoritmi bilan tengdoshlari bilan solishtirganda tasvirni qayta ishlash tezligi va aniqligi bo‗yicha ham yaxshi natijalarga erishilganligi ko‗rinib turadi.

Foydalanilgan adabiyotlar

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