1 – Rheumatology Department, Clermont-Ferrand University Hospital, Clermont-Ferrand, France 2 – Biostatistic unit, Clermont-Ferrand University Hospital, Clermont-Ferrand, France 3 – Rheumatology Department, Montpellier University Hospital, Montpellier, France 4 – Rheumatology Department, Brest University Hospital, Brest, France 5 – Rheumatology Department, Bicêtre Hospital, Assistance Publique ...

1 Lab-STICC, Institut Telecom, Telecom Bretagne, UMR CNRS 3192 Lab-STICC, Technopôle Brest-Iroise, CS 83818 29238 Brest Cedex 3, France 2TELECOM Bretagne institution, Université européenne de Bretagne (UEB), France 3Orange Labs, 38-40 rue du generale-Leclerc, 92792 Issy Moulineaux Cedex 9, France 4Communication Systems Department, Institut National des Postes et Télécommunications (INPT), Madin...

' L aboratoire de G éochim ie e l M étallogén ie (C N R S VA 196), U niversité P ierre et M arie Curie, 4 p la ce Jussieu, 75252 P aris C édex 05 (France) ' Faculty o f Science, U niversity o f Tokyo, Bunkyo-ku, T okyo 113 (Japan) ' D 3G M , IF R E M E R , C entre de Brest, B .P. 337, 29273 Brest C édex (France) 4 L aborato ire de Géochimie, U niversité L ibre de Bruxelles, 50 Av. F.D. Roosevel...

Brest cancer is the leading cause of death among women. Early detection and treatment are the keys to reduce breast cancer mortality. Mammography is the most effective method for the early detection at present. In this paper, an approach, which combined multiple feature extraction and a neural network model, is proposed to segment the breast cancer X-ray images. Firstly the visual system inspir...

1,2,3 Sylvain Brochard, 1 Bhushan Borotikar, 1,4 Joseph D Mozingo, 1,5 Katharine Alter and 1 Frances T Sheehan 1 Rehabilitation medicine department, Clinical center, NIH, Bethesda, MD, USA, 2 Rehabilitation medicine department, University Hospital of Brest, France, 3 LaTIM INSERM U1101, Brest, France, 4 University of Rochester Hajim School of Engineering & Applied Sciences, USA, 3 Mt Washington...

Abstract Introduction: Breast cancer is the most common cancer and one of the major causes of cancer deaths in women. Early diagnosis leads to significant reduction of mortality from breast cancer, in other words it can increase the lifespan of people with this cancer. This study aimed to determine the effect of education on knowledge and performance of 20-60 year old women in Yazd city abou...

Introduction: Women with Breast Cancer (BC) under chemotherapy are at risk of complications affecting their Quality of Life (QoL), which need specific discharge planning. Objective: This study aims to investigate the effect of a discharge planning program on the QoL of women with BC. Materials and Methods: This quasi-experimental study was conducted on 72 women with BC undergoing chemotherapy...

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