This dissertation explores the application of image processing, machine learning, and deep learning techniquesin applied mathematics, particularly in the analysis of medical images. Advanced algorithms such as SIFT, HOG, K-means,CNN, AlexNet, VGG, ResNet, EfficientNet, U-Net, DeepLab, YOLO, and SSD are examined for their effectiveness inextracting accurate and relevant information from images during medical diagnostics.
| Mualliflar | Yuldashev Sherzod Nuriddinovich |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2025-06-02 |
| Jild | 1 |
| Son | 5 |
| Betlar | 217-222 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.17444035 |
DOI: 10.5281/zenodo.17444035 · Maqolaning asl sahifasi
algorithm, images, SSD, U-Net, YOLO, analysis, machine learning, accuracy, CNN.
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