Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 2 of 2 for “"Breast Mass Classification"”.
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DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS
… hand-crafted features to improve the accuracy of breast mass classification from digital mammograms. Our results show that the ensemble of hand-crafted features and transferred features yields improvement of prediction performances. Third, we proposed a 3D fully convolutional network architecture …
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Towards Resilient Models: A Deep Learning Odyssey through Mammographic Images
… learning have revolutionized the landscape of breast cancer diagnosis and analysis. While these strides have been remarkable, challenges persist in developing robust and accurate models tailored specifically for medical imaging tasks. This thesis explores the complexities of this domain by …