Breast Cancer Identification and Diagnosis Techniques-Reference-Cited by-同舟云学术

Breast Cancer Identification and Diagnosis Techniques

Published:2020 Issue: Volume: Page:49-70
ISSN:2524-7565
Container-title:Machine Learning for Intelligent Decision Science
language:
Short-container-title:

Author:

Anji Reddy V.,Soni Badal

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-3689-2_3

Reference17 articles.

1. Sekar B, Lamy J-B, Muro N, Pinedo A, Séroussi B, Larburu N, Guezennec G, Bouaud J, Masero F, Arrue M, Wang H (2018) Intelligent clinical decision support systems for patient-centered healthcare in breast cancer oncology. In: HealthCom 2018, pp 1–6

2. Virmani J, Ravinder A (2019) Effect of despeckle filtering on classification of breast tumors using ultrasound images. Biocybern Biomed Eng 39(2):536–560

3. Berner ES (2009) Clinical decision support systems: state of the art. Agency for Healthcare Research and Quality (AHRQ Publication No. 09-0069-EF). Rockville, Maryland

4. Sahoo AK, Pradhan C, Das H (2020) Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making. In: Nature inspired computing for data science. Springer, Cham, pp 201–212

5. Das H, Naik B, Behera HS (2020) An experimental analysis of machine learning classification algorithms on biomedical data. In: Proceedings of the 2nd international conference on communication, devices and computing. Springer, Singapore, pp 525–539

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