Computer-derived nuclear features distinguish malignant from benign breast cytology.

[1]  W. N. Street,et al.  Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates. , 1994, Cancer letters.

[2]  W. N. Street,et al.  Breast cytology diagnosis with digital image analysis. , 1993, Analytical and quantitative cytology and histology.

[3]  Olvi L. Mangasarian,et al.  Mathematical Programming in Neural Networks , 1993, INFORMS J. Comput..

[4]  L. Layfield,et al.  The palpable breast nodule. A cost‐effectiveness analysis of alternate diagnostic approaches , 1993, Cancer.

[5]  Olvi L. Mangasarian,et al.  Nuclear feature extraction for breast tumor diagnosis , 1993, Electronic Imaging.

[6]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[7]  J. Hermans,et al.  The value of aspiration cytologic examination of the breast a statistical review of the medical literature , 1992, Cancer.

[8]  Kristin P. Bennett,et al.  Decision Tree Construction Via Linear Programming , 1992 .

[9]  D J Zahniser,et al.  High-resolution and contextual analysis for the diagnosis of fine needle aspirates of breast. , 1991, Analytical and quantitative cytology and histology.

[10]  Mubarak Shah,et al.  A fast algorithm for active contours , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[11]  Thomas F. Coleman,et al.  Large-Scale Numerical Optimization , 1990 .

[12]  P. V. van Diest,et al.  Comparison of light microscopic grading and morphometric features in cytological breast cancer specimens. , 1989, Pathology, Research and Practice.

[13]  P H Bartels,et al.  Image analysis in quantitative cytopathology and histopathology. , 1989, Human pathology.

[14]  O. Mangasarian,et al.  Pattern Recognition Via Linear Programming: Theory and Application to Medical Diagnosis , 1989 .

[15]  M. Stone.  Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .

[16]  Olvi L. Mangasarian,et al.  Multisurface method of pattern separation , 1968, IEEE Trans. Inf. Theory.