TRANSFER LEARNING YORDAMIDA MOBILENETV2 MODELI ASOSIDA MIYA O‘SIMTALARINI TASNIFLASH
Kalit so'zlar
https://doi.org/10.47390/ts-v3i5y2025N8Kalit so'zlar
miya o‘simtasi tasnifi, Chuqur o‘qitish, MobileNetV2, MRT, Transfer learningAnnotasiya
Ushbu tadqiqotda MobileNetV2 arxitekturasi asosida transfer learning (ko‘chirilgan o‘rganish) usuli yordamida miya o‘simtalarini tasniflash tizimi taqdim etiladi. Tizim miya MRT (magnit-rezonans tomografiya) tasvirlarini to‘rtta toifaga ajratish uchun mo‘ljallangan: glioma, meningioma, gipofiz (pituitariya) o‘simtasi va sog‘lom (o‘simtasiz). Taklif etilgan model 7023 ta MRT tasviridan iborat ma’lumotlar to‘plamida 93.36% test aniqligiga erishdi. Natijalar shuni ko‘rsatdiki, nozik sozlangan MobileNetV2 modeli hisoblash resurslari jihatidan samarali bo‘lishi bilan birga, klinik amaliyot va edge qurilmalar (chekka qurilmalar)da qo‘llash uchun yuqori aniqlikka ega yechimni taqdim etadi
Manbalar
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