Calculating Texture Features from Mammograms and Evaluating Their Performance in Classifying Clusters of Microcalcifications-Reference-Cited by-同舟云学术

Calculating Texture Features from Mammograms and Evaluating Their Performance in Classifying Clusters of Microcalcifications

Published:2019-09-25 Issue: Volume: Page:322-332
ISSN:1680-0737
Container-title:IFMBE Proceedings
language:
Short-container-title:

Author:

Duarte Marcelo A.^ORCID,Pereira Wagner C. A.^ORCID,Alvarenga André Victor^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-31635-8_39

Reference37 articles.

1. Brasil, Ministério da Saúde, Instituto Nacional de Câncer (INCA), Tipos de Câncer, Câncer de Mama. http://www2.inca.gov.br/wps/wcm/connect/tiposdecancer/site/home/mama

2. Brasil, Ministério da Saúde, Instituto Nacional de Câncer (INCA), Câncer de Mama, Detecção Precoce. http://www2.inca.gov.br/wps/wcm/connect/tiposdecancer/site/home/mama/deteccao_precoce+

3. Jalalian, A., Mashoror, S.B.T., Mahmudb, H.R., Saripan, M.I.B., Ramli, A.R.B., Karasfi, B.: Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review. Clin. Imaging 37(3), 420–426 (2013)

4. Calas, M.J.G., Gutfilen, B., Pereira, W.C.A.: CAD and mammography: why use this tool? Braz. J. Biomed. Eng. 45(1), 46–52 (2012)

5. Wei, L., Yanga, Y., Nishikawa, R.M.: Microcalcification classification assisted by content-based image retrieval for breast cancer diagnosis. Pattern Recogn. 42(6), 1126–1132 (2009)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cancer diagnosis using artificial intelligence: a review;Artificial Intelligence Review;2021-09-28

2. Hybrid bio-inspired algorithm and convolutional neural network for automatic lung tumor detection;Neural Computing and Applications;2020-09-19

3. A Textural Wavelet Quantization approach for an efficient breast microcalcifcation’s detection;Multimedia Tools and Applications;2020-06-26