ANALYSIS OF ALGORITHMS FOR DETECTING BREAST CANCER USING MEDICAL IMAGING
DOI:
https://doi.org/10.5281/zenodo.17444035Keywords:
algorithm, images, SSD, U-Net, YOLO, analysis, machine learning, accuracy, CNN.Abstract
This dissertation explores the application of image processing, machine learning, and deep learning techniques
in 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 in
extracting accurate and relevant information from images during medical diagnostics.
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