(Q52261915)

28 April 2018

title

Computer-derived nuclear features compared with axillary lymph node status for breast carcinoma prognosis. (English)

1 reference

28 April 2018

0 references

1 reference

Wolberg WH

1

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28 April 2018

Street WN

series ordinal

2

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28 April 2018

Mangasarian OL

series ordinal

3

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28 April 2018

language of work or name

English

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publication date

1 June 1997

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28 April 2018

published in

Cancer

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28 April 2018

volume

81

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28 April 2018

issue

3

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28 April 2018

page(s)

172-179

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28 April 2018

Computerized breast cancer diagnosis and prognosis from fine-needle aspirates

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Snakes: Active contour models

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Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates

21 January 2018

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A generalized Wilcoxon test for comparing arbitrarily singly-censored samples

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Surgical adjuvant chemotherapy in cancer of the breast: results of a decade of cooperative investigation

21 January 2018

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Comparison of radical mastectomy with alternative treatments for primary breast cancer:A first report of results from a prospective randomized clinical trial

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Risk of lymphoedema following the treatment of breast cancer

21 January 2018

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Image analysis in quantitative cytopathology and histopathology

21 January 2018

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21 January 2018

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Analysis of reproducibility of subjective grading systems for breast carcinoma

21 January 2018

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Quantitative features of chromatin structure in the prognosis of breast cancer

21 January 2018

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Correlation of nuclear morphometry with progression of breast cancer

21 January 2018

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Reproducibility of mean nuclear volume and correlation with mean nuclear area in breast cancer: an investigation of various sampling schemes.

21 January 2018

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10.1002/(SICI)1097-0142(19970625)81:3<172::AID-CNCR7>3.0.CO;2-T

21 January 2018

Identifiers

DOI

1 reference

28 April 2018

1 reference

28 April 2018