CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Masters student in Electrical Engineering with a focus on Computing at Unicamp, currently researching biomedical image processing at the Medical Image Computing Lab (MICLab). Worked at Núcleo de PD em Telecomunicações, Automação e Eletrônica (LASSE) in topics related to machine learning using the Python language, applying both to the image recognition and bioinformatics sectors. Also has experience with the GRADE system, a tool used in evidence-based medicine. (Source: Lattes Curriculum)
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Airway segmentation of CT images has become an important diagnostic tool. By providing a 3D map of the region, it helps us understand how diseases or treatments are affecting its structure. It also plays an important role in surgical planning, facilitating more precise and efficient procedures. However, manual segmentation is a time-consuming and labor-intensive task. The advent of deep l…
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