Resultats globals: 3 registres trobats en 0.02 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
1.
7 p, 432.6 KB Socioeconomic inequalities in mammography screening in Spanish women aged 45 to 69 Desigualdades socioeconómicas en el control mamográfico en mujeres españolas de 45 a 69 años de edad / Serral, Gemma (Institut d'Investigació Biomèdica Sant Pau) ; Borrell i Thió, Carme (Institut d'Investigació Biomèdica Sant Pau) ; Puigpinós i Riera, Rosa (Institut d'Investigació Biomèdica Sant Pau) ; Universitat Autònoma de Barcelona
To analyse mammography screening in Spanish women aged 45 to 69 according sociodemographic variables and to describe the role of population-based breast cancer screening programmes in terms of variability of said screening. [...]
2018 - 10.1016/j.gaceta.2016.12.010
Gaceta sanitaria, Vol. 32 Núm. 1 (enero 2018) , p. 61-67  
2.
12 p, 272.3 KB Detection of Masses in Digital Mammograms using K-means and Support Vector Machine / Oliveira Martins, Leonardo de (Federal University of Maranhao (Sao Luis, Brasil)) ; Braz Junior, Geraldo (Pontifical Catholic University of Rio de Janeiro) ; Corrêa Silva, Aristófanes (Pontifical Catholic University of Rio de Janeiro) ; Cardoso de Paiva, Anselmo (Pontifical Catholic University of Rio de Janeiro) ; Gattass, Marcelo (Federal University of Maranhao (Sao Luis, Brasil))
Breast cancer is a serious public health problem in several countries. Computer Aided Detection/Diagnosis systems (CAD/CADx) have been used with relative success aiding health care professionals. The goal of such systems is contribute on the specialist task aiding in the detection of different types of cancer at an early stage. [...]
2009 - 10.5565/rev/elcvia.216
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 2 (2009) p. 39-50  
3.
20 p, 1002.9 KB Classification of breast mass abnormalities using denseness and architectural distortion / Baeg, Soon (Texas Instruments, Inc. (Dallas, Estats Units d'Amèrica)) ; Kehtarnavaz, Nasser (University of Texas at Dallas. Department of Electrical Engineering)
This paper presents an electronic second opinion system for the classification of mass abnormalities in mammograms into benign and malignant categories. This system is designed to help radiologists to reduce the number of benign breast cancer biopsies. [...]
2002 - 10.5565/rev/elcvia.59
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 1 n. 1 (2002) p. 1-20  

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