Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation

@article{Kong2009ComputeraidedEO,
  title={Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation},
  author={Jun Kong and Olcay Sertel and Hiroyuki Shimada and Kim L. Boyer and Joel H. Saltz and Metin Nafi G{\"u}rcan},
  journal={Pattern recognition},
  year={2009},
  volume={42 6},
  pages={1080-1092}
}
Neuroblastoma (NB) is one of the most frequently occurring cancerous tumors in children. The current grading evaluations for patients with this disease require pathologists to identify certain morphological characteristics with microscopic examinations of tumor tissues. Thanks to the advent of modern digital scanners, it is now feasible to scan cross-section tissue specimens and acquire whole-slide digital images. As a result, computerized analysis of these images can generate key quantifiable… CONTINUE READING

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