Zobrazeno 1 - 10
of 40
pro vyhledávání: '"O L, Mangasarian"'
Publikováno v:
Statistical Analysis and Data Mining. 1:215-222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231c4860fcd6a01438a04c8620405d5d
https://doi.org/10.1002/sam.10019
https://doi.org/10.1002/sam.10019
Nonlinear Programming 2 covers the proceedings of the Special Interest Group on Mathematical Programming Symposium conducted by the Computer Sciences Department at the University of Wisconsin, Madison, on April 15-17, 1974. This book is divided into
Nonlinear Programming contains the proceedings of a Symposium on Nonlinear Programming held in Madison, Wisconsin on May 4-6, 1970. This book emphasizes algorithms and related theories that lead to efficient computational methods for solving nonlinea
Autor:
O. L. Mangasarian
Publikováno v:
Journal of Global Optimization. 5:309-323
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d5ff978f8c5b96671c039cc0f3808a8
https://doi.org/10.1007/bf01096681
https://doi.org/10.1007/bf01096681
Publikováno v:
Cancer. 81(3)
Both axillary lymph node involvement and tumor anaplasia, as expressed by visually assessed grade, have been shown to be prognostically important in breast carcinoma outcome. In this study, axillary lymph node involvement was used as the standard aga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ed6139300edbdc318234798ef170d245
https://pubmed.ncbi.nlm.nih.gov/9196016
https://pubmed.ncbi.nlm.nih.gov/9196016
Publikováno v:
Cancer. 81(2)
Fine-needle aspiration (FNA) of the breast, although effective for the diagnosis of breast carcinoma, has a significant drawback. A minority of cases cannot be classified as benign or malignant. These FNAs are assigned an inconclusive diagnosis, ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4e09b63ed9ef32f8c213a0f61182a36d
https://pubmed.ncbi.nlm.nih.gov/9126141
https://pubmed.ncbi.nlm.nih.gov/9126141
Publikováno v:
Analytical and quantitative cytology and histology. 17(4)
Visual assessments of nuclear grade are subjective yet still prognostically important. Now, computer-based analytical techniques can objectively and accurately measure size, shape and texture features, which constitute nuclear grade. The cell samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d0661f4ff3cd3de4c3f6a5a8acc5d692
https://pubmed.ncbi.nlm.nih.gov/8526950
https://pubmed.ncbi.nlm.nih.gov/8526950
Publikováno v:
Analytical and quantitative cytology and histology. 17(2)
Fine needle aspiration (FNA) accuracy is limited by, among other factors, the subjective interpretation of the aspirate. We have increased breast FNA accuracy by coupling digital image analysis methods with machine learning techniques. Additionally,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ef0ebaca162bc78abe85cfb1ce1f7bab
https://pubmed.ncbi.nlm.nih.gov/7612134
https://pubmed.ncbi.nlm.nih.gov/7612134
Publikováno v:
Analytical and quantitative cytology and histology. 15(6)
An interactive computer system has been developed for evaluating cytologic features derived directly from a digital scan of breast fine needle aspirate slides. The system uses computer vision techniques to analyze cell nuclei and classifies them usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::26228a7e1a1f3ca6bd7747bd75474ee2
https://pubmed.ncbi.nlm.nih.gov/8297430
https://pubmed.ncbi.nlm.nih.gov/8297430
Autor:
W H, Wolberg, O L, Mangasarian
Publikováno v:
Analytical and quantitative cytology and histology. 15(1)
Three expert systems have been developed to diagnose from nine scalar values visually assigned to epithelial cells obtained by breast fine needle aspiration. These expert systems achieved up to 0.98 sensitivity and 0.97 specificity. When applied to 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a947f2f141dd02e9efa561d122df806c
https://pubmed.ncbi.nlm.nih.gov/8471108
https://pubmed.ncbi.nlm.nih.gov/8471108