AI Research
Clinical Feasibility of Low-Magnification Fluorescence Imaging for Breast Cancer Margin Detection Using Texture Analysis and Deep Learning
Lower magnification imaging maintains high diagnostic accuracy while improving intraoperative efficiency.
High-resolution images of unprocessed surgical breast tissue can be obtained using microscopy with ultraviolet surface excitation (MUSE). This technique is considered a promising method for checking surgical margins during breast cancer surgery. In this study, MUSE images at 4x a...
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ArXiv CS.CV
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ArXiv CS.CV
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This research demonstrates that lower magnification imaging coupled with deep learning maintains diagnostic accuracy for cancer margin detection. By increasing the field of view and processing speed, this approach paves the way for more efficient real-time surgical guidance.
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