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1
Application of artificial neural network models in segmentation and classification of nodules in breast ultrasound digital images
Application of artificial neural network models in segmentation and classification of nodules in breast ultrasound digital images
Material Type:
Artigo 		Adicionar ao Meu Espaço

Application of artificial neural network models in segmentation and classification of nodules in breast ultrasound digital images

Karem Daiane Marcomini Antonio Adilton Oliveira Carneiro; Homero Schiabel

International Journal of Biomedical Imaging New York, NY, USA : Hindawi, 2016 v. 2016, article ID 7987212, p. 1-13

New York, NY, USA 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2776865 Estantes Deslizantes )(Acessar)

2
Breast cancer classification a CAD system for a combined use of elastography and B-mode sonography
Breast cancer classification a CAD system for a combined use of elastography and B-mode sonography
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Artigo 		Adicionar ao Meu Espaço

Breast cancer classification a CAD system for a combined use of elastography and B-mode sonography

Karem Daiane Marcomini E. F. C Fleury; Homero Schiabel

Journal of Cancer Sciences Ellicott City, MD, USA : Avens, 2020 v. 7, n. 1, article 6, p. 1-6, 2020

Ellicott City, MD, USA 2020

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026820 )(Acessar)

3
Nodules segmentation in breast ultrasound using the artificial neural network self-organizing map
Nodules segmentation in breast ultrasound using the artificial neural network self-organizing map
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Nodules segmentation in breast ultrasound using the artificial neural network self-organizing map

Karem Daiane Marcomini Homero Schiabel; World Congress on Engineering - WCE (2012 London, U.K.)

Proceedings Hong Kong : International Association of Engineers - IAENG, 2012

Hong Kong International Association of Engineers - IAENG 2012

Item não circula. Consulte sua biblioteca.(Acessar)

4
Investigating automatic techniques in segmentation accuracy of masses in digital mammography images
Investigating automatic techniques in segmentation accuracy of masses in digital mammography images
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Investigating automatic techniques in segmentation accuracy of masses in digital mammography images

Karem Daiane Marcomini Homero Schiabel; World Congress on Medical Physics and Biomedical Engineering (2015 Toronto, Canada)

IFMBE Proceedings Cham v. 51, p. 199-202, 2015

Cham Springer International Publishing 2015

Item não circula. Consulte sua biblioteca.(Acessar)

5
Comparative study on Otsu, EICAMM and level set techniques to automatic segmentation of breast lesions on digital mammography
Comparative study on Otsu, EICAMM and level set techniques to automatic segmentation of breast lesions on digital mammography
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Comparative study on Otsu, EICAMM and level set techniques to automatic segmentation of breast lesions on digital mammography

Karem Daiane Marcomini Homero Schiabel; Workshop de Visão Computacional - WVC (11. : 2015 : São Carlos, SP)

Proceedings Porto Alegre, RS : SBC, 2015

Porto Alegre, RS SBC 2015

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026806 )(Acessar)

6
Development of a computer tool to detect and classify nodules in ultrasound breast images
Development of a computer tool to detect and classify nodules in ultrasound breast images
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Development of a computer tool to detect and classify nodules in ultrasound breast images

Karem Daiane Marcomini Antonio Adilton Oliveira Carneiro; Homero Schiabel; SPIE Medical Imaging : computer-aided diagnosis (2014 San Diego, CA, USA)

Proceedings of SPIE Bellingham v. 9035, 90351O [p. 1-9], 2014

Bellingham 2014

Item não circula. Consulte sua biblioteca.(Acessar)

7
Segmentation techniques evaluation based on a single compact breast mass classification scheme
Segmentation techniques evaluation based on a single compact breast mass classification scheme
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Segmentation techniques evaluation based on a single compact breast mass classification scheme

Bruno Roberto Nepomuceno Matheus Karem Daiane Marcomini; Homero Schiabel; Medical Imaging 2016 : image processing (2016 San Diego, CAL, USA)

Proceedings of SPIE Bellingham, USA : SPIE, 2016 v. 9784, 978426 (p. 1-8), 2016

Bellingham, United States SPIE 2016

Item não circula. Consulte sua biblioteca.(Acessar)

8
Quantitative evaluation of automatic methods for lesions detection in breast ultrasound images
Quantitative evaluation of automatic methods for lesions detection in breast ultrasound images
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Quantitative evaluation of automatic methods for lesions detection in breast ultrasound images

Karem Daiane Marcomini Homero Schiabel; Antonio Adilton Oliveira Carneiro; Medical Imaging : physics of medical imaging (2013 : Lake Buena Vista, FL, USA)

Proceedings of SPIE Bellingham, WA, USA : SPIE, 2013 v. 8670, article 867027, p. 1-7

Bellingham, WA, USA 2013

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026783 )(Acessar)

9
Proposal of semi-automatic classification of breast lesions for strain sonoelastography using a dedicated CAD system
Proposal of semi-automatic classification of breast lesions for strain sonoelastography using a dedicated CAD system
Material Type:
Livro 		Adicionar ao Meu Espaço

Proposal of semi-automatic classification of breast lesions for strain sonoelastography using a dedicated CAD system

Karem Daiane Marcomini Eduardo F. C Fleury; Homero Schiabel; Robert M Nishikawa; International Workshop - IWDM 2016 (13. : 2016 : Malmö, Sweden)

Tingberg, Anders; Lang, Kristina; Timberg, Pontus, (Eds.) Breast imaging Lausanne, Switzerland : Springer, 2016 688 p

Lausanne, Switzerland 2016

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-026814 )(Acessar)

10
Investigating materials for breast nodules simulation by using segmentation and similarity analysis of digital images
Investigating materials for breast nodules simulation by using segmentation and similarity analysis of digital images
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Investigating materials for breast nodules simulation by using segmentation and similarity analysis of digital images

Paula Neme Siqueira Karem Daiane Marcomini; Maria Angelica Zucareli Sousa; Homero Schiabel; Medical Imaging 2015 : physics of medical imaging (2015 Orlando, FL, USA)

Proceedings of SPIE Bellingham v. 9412, 94123F (p. 1-8), 2015

Bellingham 2015

Item não circula. Consulte sua biblioteca.(Acessar)

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Deste Autor:

  1. Marcomini, K
  2. Schiabel, H
  3. Carneiro, A
  4. Fleury, E
  5. Nishikawa, R

Neste Assunto:

  1. Neoplasias Mamárias
  2. Engenharia Elétrica
  3. Mamografia
  4. Diagnóstico Por Computador
  5. Imagem Digital

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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