Local and Global Thresholding-Based Breast Cancer Detection Using Thermograms

Author:

Mishra Vartika,Rath Subhendu,Rath Santanu Kumar

Publisher

Springer Nature Singapore

Reference21 articles.

1. WHO, Cancer (2021). https://www.who.int/en/news-room/fact-sheets/detail/cancer

2. Tan TZ, Quek C, Ng GS, Ng E (2007) A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure. Expert Syst Appl 33(3):652–666

3. Nurhayati OD (2011) Principal component analysis combined with first order statistical method for breast thermal images classification 1

4. Motta LS, Conci A, Lima RCF, Diniz EM (2010) Automatic segmentation on thermograms in order to aid diagnosis and 2D modelling. In: Proceedings of the Tenth Workshop em Informatica Medica, Belo Horizonte, pp 1610–1619, MG, Brazil

5. Sharma R, Sharma JB, Maheshwari R, Baleanu D (2021) Early anomaly prediction in breast thermogram by hybrid model consisting of superpixel segmentation, sparse feature descriptors and extreme learning machine classifier. Biomed Signal Process Control 70:103011

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