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DEEP LEARNING BASED CERVICAL CANCER DISEASE DETECTION AND CLASSIFICATION MODEL A Thesis Presented By Nun Belau To The Faculty of Informatics Oft. Mary's University In Partial Fulfillment of the Requirements
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Collect and preprocess cervical images for training data.
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Medical researchers and professionals working in the field of cervical cancer detection.
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Deep learning based cervical refers to the application of deep learning techniques in analyzing and diagnosing cervical conditions, often using data from medical images like cervical scans.
Healthcare providers and facilities that utilize deep learning algorithms for diagnosing or treating cervical conditions may be required to file deep learning based cervical reports.
To fill out deep learning based cervical, the required data including patient information, diagnostic results, and the deep learning model used should be accurately reported in the designated format.
The purpose of deep learning based cervical is to enhance diagnostic accuracy and efficiency in identifying cervical abnormalities, thereby improving patient outcomes.
Information that must be reported includes patient demographics, the specifics of the deep learning model used, diagnostic outcomes, and any relevant clinical notes.
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