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Breast Tumor Screening AI System
Brief Project Information
The system uses a newly designed TMuNet model that automatically identifies and locates suspect lesions, identifies the location of the lump and calcite stoves, and helps doctors quickly find suspects.
Average Sustainability Index
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Editor's comment for this project's sustainability:
The system helps clinicians to detect breast tumors more accurately and efficiently, which improves the level of early breast cancer diagnosis in primary hospitals, and helps patients to obtain early screening and early treatment.
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