Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Lincoln Faria da Silva"'
Autor:
Thiago Alves Elias da Silva, Lincoln Faria da Silva, Débora Christina Muchaluat-Saade, Aura Conci
Publikováno v:
Sensors, Vol 20, Iss 14, p 3866 (2020)
Breast cancer has been the second leading cause of cancer death among women. New techniques to enhance early diagnosis are very important to improve cure rates. This paper proposes and evaluates an image analysis method to automatically detect patien
Externí odkaz:
https://doaj.org/article/d663501b18eb4640b1014eec79a1a8e1
Autor:
Adriel dos Santos Araujo, Débora C. Muchaluat-Saade, Aura Conci, Lincoln Faria da Silva, Petrucio R. T. Medeiros, Roger Resmini
Publikováno v:
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4802, p 4802 (2021)
Sensors (Basel, Switzerland)
Volume 21
Issue 14
Sensors, Vol 21, Iss 4802, p 4802 (2021)
Sensors (Basel, Switzerland)
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment can increase the cancer survival rate. In this context, thermography is a suitable approach to help early diagnosis due to the temperature difference
Autor:
Flavio Luiz Seixas, Cristina Asvolinsque Pantaleão Fontes, Lincoln Faria da Silva, Débora C. Muchaluat-Saade, Aura Conci
Publikováno v:
CBMS
Breast cancer is the second most common cancer in the world. Early diagnosis and treatment increase the patient's chances of healing. The temperature of cancerous tissues is generally higher than that of healthy neighbouring tissues, making thermogra
Autor:
Alair Augusto Sarmet Moreira Damas dos Santos, Aura Conci, Lincoln Faria da Silva, Renato de Souza Bravo, Aristófanes Corrêa Silva, Débora C. Muchaluat-Saade
Publikováno v:
Computer Methods and Programs in Biomedicine. 130:142-153
HighlightsWe have proposed a hybrid automatic method for identifying patients with breast cancer, supporting human experts.We have applied learning techniques supervised and unsupervised learning techniques.We have applied various validity indexes of
Publikováno v:
Sensors, Vol 20, Iss 3866, p 3866 (2020)
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 14
Sensors (Basel, Switzerland)
Breast cancer has been the second leading cause of cancer death among women. New techniques to enhance early diagnosis are very important to improve cure rates. This paper proposes and evaluates an image analysis method to automatically detect patien
Publikováno v:
AICCSA
This paper presents the use of the Number of Texture Unit as a feature extractor for classification of breast images. The Number of Texture Unit served as the basis for the idealization of the Local Binary Pattern a technique that is widely used in f
Autor:
Lincoln Faria da Silva, Franciéric De Araújo, Giomar O. Sequeiros, Frédéric Lebon, Claudinéia Araújo, Aura Conci, Reinaldo Rodríguez-Ramos, Adriel dos Santos Araujo, Roger Resmini
Publikováno v:
Application of Infrared to Biomedical Sciences ISBN: 9789811031465
Application of Infrared to Biomedical Sciences
Ng E., Etehadtavakol M. Application of Infrared to Biomedical Sciences, Springer, pp.159-172, 2017, Series in BioEngineering, 978-981-10-3147-2. ⟨10.1007/978-981-10-3147-2_10⟩
Application of Infrared to Biomedical Sciences
Ng E., Etehadtavakol M. Application of Infrared to Biomedical Sciences, Springer, pp.159-172, 2017, Series in BioEngineering, 978-981-10-3147-2. ⟨10.1007/978-981-10-3147-2_10⟩
International audience; This chapter presents some developments and researches on using breast infrared images in Brazil (Visual Lab group of the Federal Fluminense University). These researches focus on comparing protocols for data acquisition using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ccfab52a1c4333026fcd49f7418116
https://doi.org/10.1007/978-981-10-3147-2_10
https://doi.org/10.1007/978-981-10-3147-2_10
Autor:
Débora Christina Muchaluat Saade, Giomar O. Sequeiros, Aura Conci, Lincoln Faria da Silva, Renato de Souza Bravo, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva
Publikováno v:
Journal of Medical Imaging and Health Informatics. 4:92-100
Autor:
Anselmo Cardoso de Paiva, Roger Resmini, Aristófanes Corrêa Silva, Alair Augusto Sarmet Moreira Damas dos Santos, Renato de Souza Bravo, Aura Conci, Lincoln Faria da Silva, Débora C. Muchaluat-Saade
Publikováno v:
Anais do XVI Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS 2016).
O câncer de mama é o segundo tipo de câncer mais comum no mundo. O diagnóstico e o tratamento em estágios iniciais aumentam as chances de cura da paciente. A temperatura de tecidos cancerosos é geralmente mais alta do que a de tecidos vizinhos
Autor:
Lincoln Faria da Silva
Publikováno v:
Gynecology & Obstetrics.