Transfer learning yordamida kasallik tashxisi
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Transfer Learning##common.commaListSeparator## tibbiy tasvirlar##common.commaListSeparator## kasallik tashxisi##common.commaListSeparator## sun’iy intellektAnnotatsiya
Ushbu tezisda tibbiy tasvirlar asosida kasalliklarni aniqlash jarayonida mashinali o‘qitishning zamonaviy yo‘nalishi bo‘lgan Transfer Learning texnologiyasidan foydalanish imkoniyatlari keng yoritiladi. Tadqiqot davomida EfficientNetB0, ResNet50 va MobileNetV2 modellarining pnevmoniya tasvirlarini aniqlashdagi samaradorligi solishtirildi. Shuningdek, tasvirlarni oldindan qayta ishlash, data augmentation, modelni qayta o‘qitish (fine-tuning) bosqichlari va natijalar barqarorligini oshirishga qaratilgan texnik yechimlar ham batafsil bayon qilindi. Olingan natijalar Transfer Learning yondashuvi tibbiy tasvirga asoslangan diagnostikada yuqori aniqlik va ishonchlilikni ta’minlashini ko‘rsatadi.
##submission.citations##
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5. Howard, A. G., et al. (2017). MobileNet: Efficient Convolutional Neural Networks for Mobile Vision Applications. Google Research.
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7. Dosovitskiy, A., et al. (2020). An Image is Worth 16x16 Words: Transformers for Image Recognition. ViT Architecture.
8. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
