Výsledky vyhledávání - "Ana Catarina Perre"

Akademický článek

Avaliação da caracterização de lesões em mamografia com recurso a sistemas CAD (Computer-Aided Diagnosis)

Publikováno v: Saúde & Tecnologia, Iss 11 (2022)

Os sistemas Computer-Aided Diagnosis (CAD) auxiliam a deteção e diferenciação de lesões benignas e malignas, aumentando a performance no diagnóstico do cancro da mama. As lesões da mama estão fortemente correlacionadas com a forma do contorno

Externí odkaz: https://doaj.org/article/193819a9539f4d439c0b5494bb43ccfc

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Akademický článek

Assessment of mammographic lesions characterization with CAD (Computer-Aided Diagnosis) systems

Autor: Ana Catarina Perre, Luís Freire

Publikováno v: Saúde & Tecnologia, Vol 0, Iss 11, Pp 28-33 (2015)

Computer-Aided Systems can assist differentiation and classification of breast benign and malignant lesions enhanced the performance of breast cancer diagnosis. Breast lesions are strongly correlated with their shape: benign lesions present regular s

Externí odkaz: https://doaj.org/article/a4c9dbd85864410cac23f888fa53217a

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Avaliação da Caracterização de Lesões em Mamografia com Recurso a Sistemas CAD

Autor: Ana Catarina Perre, Luís C. Freire

Publikováno v: ROENTGEN-Revista Científica das Técnicas Radiológicas. 2:41-49

Computer‑Aided Systems can improve the performance of breast cancer diagnosis, helping the differentiation and classification of breast benign and malignant lesions. Breast lesions are strongly correlated with their shape, therefore, in this work,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ce7fc188fcf1f2e6b1ba4747630cd43
https://doi.org/10.46885/roentgen.v2i2.58

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Lesion classification in mammograms using convolutional neural networks and transfer learning

Autor: Luís A. Alexandre, Ana Catarina Perre, Luís C. Freire

Publikováno v: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
VipIMAGE 2017 ISBN: 9783319681948

Convolutional neural networks (CNNs) have recently been successfully used in the medical field to detect and classify pathologies in different imaging modalities, including in mammography. One disadvantage of CNNs is the need for large training datas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6b6c0a8dcdddfd802b307d905ace14

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