Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications

التفاصيل البيبلوغرافية
العنوان: Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications
المؤلفون: Nakhaei, Noor, Marasinou, Chrysostomos, Omigbodun, Akinyinka, Capiro, Nina, Li, Bo, Hoyt, Anne, Hsu, William
المصدر: Medical Imaging 2021: Computer-Aided Diagnosis (Vol. 11597, pp. 511-516). SPIE
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
الوصف: Accurate characterization of suspicious microcalcifications is critical to determine whether these calcifications are associated with invasive disease. Our overarching objective is to enable the joint characterization of microcalcifications and surrounding breast tissue using mammography images and digital histopathology images. Towards this goal, we investigate a template matching-based approach that utilizes microcalcifications as landmarks to match radiographs taken of biopsy core specimens to groups of calcifications that are visible on mammography. Our approach achieved a high negative predictive value (0.98) but modest precision (0.66) and recall (0.58) in identifying the mammographic region where microcalcifications were taken during a core needle biopsy.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2405.13237
رقم الأكسشن: edsarx.2405.13237
قاعدة البيانات: arXiv