Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection

Berkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Sophie Paquerault, Mark A. Helvie, Lubomir M. Hadjiiski. Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection. In Milan Sonka, Kenneth M. Hanson, editors, Medical Imaging 2001: Image Processing, San Diego, CA, United States, 17-22 February 2001. Volume 4322 of SPIE Proceedings, SPIE, 2001. [doi]

@inproceedings{SahinerPCPHH01,
  title = {Recognition of lesion correspondence on two mammographic views: a new method of false-positive reduction for computerized mass detection},
  author = {Berkman Sahiner and Nicholas Petrick and Heang-Ping Chan and Sophie Paquerault and Mark A. Helvie and Lubomir M. Hadjiiski},
  year = {2001},
  doi = {10.1117/12.431139},
  url = {https://doi.org/10.1117/12.431139},
  researchr = {https://researchr.org/publication/SahinerPCPHH01},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2001: Image Processing, San Diego, CA, United States, 17-22 February 2001},
  editor = {Milan Sonka and Kenneth M. Hanson},
  volume = {4322},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9780819440082},
}