Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications
<|reference_start|>Spatial Matching of 2D Mammography Images and Specimen Radiographs: Towards Improved Characterization of Suspicious Microcalcifications: 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.<|reference_end|>
@article{nakhaei2024spatial,
    title={Spatial Matching of 2D Mammography Images and Specimen Radiographs:
  Towards Improved Characterization of Suspicious Microcalcifications},
    author={Noor Nakhaei, Chrysostomos Marasinou, Akinyinka Omigbodun, Nina
  Capiro, Bo Li, Anne Hoyt, and William Hsu},
    journal={Medical Imaging 2021: Computer-Aided Diagnosis (Vol. 11597, pp.
  511-516). SPIE},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.13237},
    primaryClass={eess.IV cs.CV}
}