Pons Rodríguez, Gerard (Date of defense: 2014-01-21)
This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable ...
Blancafort Jorquera, Adriana (Date of defense: 2016-01-29)
In this thesis,the association of FASN (fatty acid synthase) expression with clinicopathological and anthropometric characteristics in breast cancer patients is studied to find out FASN role as a ...
Puig Vives, Montserrat (Date of defense: 2015-02-24)
The aim of this thesis is to carry out an in-depth study of various aspects of breast cancer epidemiology. Firstly, we have confirmed that DCIS incidence in Girona has increased over recent decades. ...
Mata Miquel, Christian (Date of defense: 2015-07-24)
Prostate and breast cancer are the most common cause of cancers in men and women, respectively. Medical imaging plays an important role in breast and prostate cancer detection and evaluation. Then to ...
Palomeras, Sònia (Date of defense: 2019-02-27)
The major clinical problem for HER2+ breast cancer target therapies is the acquisition of resistance. The DNA methylation status of the promoter gene region has been described as a common epigenetic ...
Cufí González, Sílvia (Date of defense: 2015-05-22)
Aquest és el primer informe que demostra que l'autofàgia està mecànicament vinculat al manteniment de les cèl•lules tumorals que expressen alts nivells de CD44 i baixos nivells de CD24, que són típics ...
Giró Perafita, Ariadna (Date of defense: 2017-01-17)
Triple-negative breast cancer (TNBC) represents 20% of breast cancer and patients receive only general chemotherapy. The epidermal growth factor receptor (EGFR) is commonly expressed in TNBC and it is ...
Agarwal, Richa (Date of defense: 2019-09-26)
In the field of breast cancer imaging, traditional Computer Aided Detection (CAD) systems were designed using limited computing resources and used scanned films (poor image quality), resulting in less ...
Massich i Vall, Joan (Date of defense: 2013-12-04)
This thesis analyses the current strategies to segment breast lesions in Ultra-Sound (US) data and proposes a fully automatic methodology for generating accurate segmentations of breast lesions in US ...