Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Juliana H. Catani"'
Autor:
Marcelo Andrade da Costa Vieira, Nestor de Barros, Helder Cesar Rodrigues de Oliveira, Carlos F. E. Melo, Juliana H. Catani
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
This work presents a deep learning approach based on autoencoder to improve the detection of architectural distortion (AD) in digital mammography. AD can be the earliest sign of breast cancer, appearing before the formation of any mass or calcificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::358dadc7374de54e64327e61c2855aca
https://doi.org/10.1117/12.2513021
https://doi.org/10.1117/12.2513021
Autor:
Nestor de Barros, Juliana H. Catani, Arianna Mencattini, Marcelo Andrade da Costa Vieira, Eugenio Martinelli, Adilson Gonzaga, Paola Casti, Helder Cesar Rodigues de Oliveira
Background and objective: Full-field digital mammography (FFDM) is the predominant breast cancer screening exam used. However, with the emergence of digital breast tomosynthesis (DBT) the radiologists could improve early recognition of breast cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8515fe92c2c08ba3b9069b21bbf6222
http://hdl.handle.net/2108/232356
http://hdl.handle.net/2108/232356
Autor:
Juliana H. Catani, Helder Cesar Rodigues de Oliveira, Arthur C. Costa, Marcelo Andrade da Costa Vieira, Carlos F. E. Melo, Nestor de Barros
Publikováno v:
XXVI Brazilian Congress on Biomedical Engineering ISBN: 9789811325168
Early detection of breast cancer can increase treatment efficiency. One of the earliest signs of breast cancer is the Architectural Distortion (AD), which is a subtle contraction of the breast tissue, most of the time unnoticeable. A lot of technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6c54888ca53d9782a885074bf190c3
https://doi.org/10.1007/978-981-13-2517-5_24
https://doi.org/10.1007/978-981-13-2517-5_24
Autor:
Renato Augusto Eidy Kiota Matsumoto, Mirela Liberato Campoy, Nestor de Barros, Arthur Magalhães Oliveira, Juliana H. Catani
Publikováno v:
Radiologia Brasileira v.51 n.5 2018
Radiologia Brasileira
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)
instacron:CBR
Radiologia Brasileira, Iss 0 (2018)
Radiologia Brasileira, Issue: ahead, Published: 21 SEP 2018
Radiologia Brasileira
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)
instacron:CBR
Radiologia Brasileira, Iss 0 (2018)
Radiologia Brasileira, Issue: ahead, Published: 21 SEP 2018
Although the primary purpose of periodic mammograms in screening programs is to identify lesions suspected of being carcinomas, the findings are often related to systemic (benign or malignant) diseases, rather than breast cancer. Although the involve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41eb836247318d531cc5ede9be7571c3
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842018000500328
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842018000500328
Autor:
Paola Casti, Adilson Gonzaga, Helder Cesar Rodigues de Oliveira, Carlos F. E. Melo, Marcelo Andrade da Costa Vieira, Nestor de Barros, Corrado Di Natale, Eugenio Martinelli, Arianna Mencattini, Juliana H. Catani
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
This paper proposes a method to reduce the number of false-positives (FP) in a computer-aided detection (CAD) scheme for automated detection of architectural distortion (AD) in digital mammography. AD is a subtle contraction of breast parenchyma that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25d184642292861c3c3489144346ad66
http://hdl.handle.net/2108/265385
http://hdl.handle.net/2108/265385