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                <identifier>oai:data.mendeley.com/dsf4vmpnv7.1</identifier>
                <datestamp>2025-07-04T15:21:00Z</datestamp>
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    <dc:creator>Turk, Veysel</dc:creator>
    <dc:title>The Foot Tumor CT Image Dataset (FTCID)</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset consists of foot and ankle images acquired using multidetector computed tomography (MDCT) with a resolution of 512×512 pixels in JPG format. The images are divided into two classes: tumor absent and tumor present. The dataset contains 134 images of healthy individuals with no tumors and 162 images depicting rare foot and ankle tumor cases. </dc:description>
    <dc:subject>Radiology</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Oncology</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Cancer Diagnosis</dc:subject>
    <dc:subject>Image Analysis (Medical Imaging)</dc:subject>
    <dc:subject>Computed Tomography</dc:subject>
    <dc:subject>Medical Image Processing</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:subject>Deep Transfer Learning</dc:subject>
    <dc:subject>Data Augmentation</dc:subject>
    <dc:contributor>Catal Reis, Hatice </dc:contributor>
    <dc:contributor>Kaya, Serhat</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/dsf4vmpnv7.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/dsf4vmpnv7.1</dc:identifier>
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    <dc:date>2025-07-04T15:21:00Z</dc:date>
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