Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification
@inproceedings{Jelen2008ComparisonOP, title={Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification}, author={L. Jelen and A. Krzyżak and T. Fevens}, booktitle={Canadian Conference on AI}, year={2008} }
Malignancy of a cancer is one of the most important factors that are taken into consideration during breast cancer. Depending on the malignancy grade the appropriate treatment is suggested. In this paper we make use of the Bloom-Richardson grading system, which is widely used by pathologists when grading breast cancer malignancy. Here we discuss the use of two categories of cells features for malignancy classification. The features are divided into polymorphic features that describe nuclei… Expand
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References
SHOWING 1-10 OF 20 REFERENCES
Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies
- Computer Science
- Int. J. Appl. Math. Comput. Sci.
- 2008
- 105
- PDF
Nuclear feature extraction for breast tumor diagnosis
- Computer Science, Engineering
- Electronic Imaging
- 1993
- 393
- PDF
The use of the area under the ROC curve in the evaluation of machine learning algorithms
- Computer Science
- Pattern Recognit.
- 1997
- 4,339
- PDF
A shape-based approach to the segmentation of medical imagery using level sets
- Mathematics, Computer Science
- IEEE Transactions on Medical Imaging
- 2003
- 915
- PDF
Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function
- Computer Science, Medicine
- MICCAI
- 2006
- 8
- PDF
Generalizing the Hough transform to detect arbitrary shapes
- Mathematics, Computer Science
- Pattern Recognit.
- 1981
- 4,460
- PDF
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
- Computer Science
- ICML
- 1998
- 287