CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Received the BS degree in Computer Science from University of Sagrado Coração, Bauru, Brazil in 2009, and concluded the Master and Doctorate in Science from University of São Paulo, São Carlos, Brazil (2012 and 2017). During the PhD, spent a period in the Department of Radiology at the University of Pittsburgh - Pittsburgh, United States (nov/15-oct/16) as visiting researcher. Post doctorate (nov/20 - mar/2022) in Computer Science from University of São Paulo, São Carlos, Brazil. Her research interest includes the areas of medical image processing (mammography, ultrasound, elastography and chest X-ray), artificial neural networks, machine learning, deep learning, computer-aided diagnosis. She is currently a Professor at the Paulista University (UNIP), Campinas, Brazil and Image Processing Analyst at Pix Force, Porto Alegre, Brazil. (Source: Lattes Curriculum)
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The new SARS-CoV-2 coronavirus pandemic has already confirmed over 40 million cases worldwide, accounting for more than 1,000,000 of deaths. In Brazil, the COVID-19 stage, named for the syndrome caused by SARS-CoV-2, has infected more than one million people and led to over 150 thousand deaths. Patients diagnosed with Severe Acute Respiratory Syndromes (SARS) are routinely subjected to me…
Aiming to deal with the clinical worsening of breast cancer as well as to assist its early detection, many imaging diagnosis procedures have been developed or improved regarding both the image and the equipment. Modules of mammography CADx (Computer aided diagnosis) schemes have been proposed with the aim of providing diagnostic support, improving its accuracy. Among the available screeni…
The increase in breast cancer cases has taken attention of many specialists in several fields. One of the consequences of this feature is the development of CAD schemes designed to aid in obtaining more accurate diagnosis in mammography evaluation. In this field the efforts in aiding the detection and characterization of nodules and/or microcalcifications in mammography images has been gr…
The screening techniques are very important for the early detection of breast cancer. The main difficulties are: subjectivity of the specialist to determine the lesion characteristics (boundaries and texture, for example) and when they the lesions are not seen in certain image modality, such as radiographically dense breasts in mammography or when there are the occurrence of overlapping t…
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