Literature DB >> 17271889

Classification of breast thermal images using artificial neural networks.

T Jakubowska1, B Wiecek, M Wysocki, C Drews-Peszynski, M Strzelecki.   

Abstract

In this paper we present classification of the thermal images in order to discriminate healthy and pathological cases during breast cancer screening. Different image features and approaches for data reduction and classification have been used. The most promised method was based on wavelet transformation and nonlinear neural network classifier.

Entities:  

Year:  2004        PMID: 17271889     DOI: 10.1109/IEMBS.2004.1403370

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Detection of breast abnormality from thermograms using curvelet transform based feature extraction.

Authors:  Sheeja V Francis; M Sasikala; S Saranya
Journal:  J Med Syst       Date:  2014-03-23       Impact factor: 4.460

Review 2.  Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer.

Authors:  M M Mehdy; P Y Ng; E F Shair; N I Md Saleh; C Gomes
Journal:  Comput Math Methods Med       Date:  2017-04-03       Impact factor: 2.238

3.  Breast Cancer Pathological Image Classification Based on the Multiscale CNN Squeeze Model.

Authors:  Yahya Alqahtani; Umakant Mandawkar; Aditi Sharma; Mohammad Najmus Saquib Hasan; Mrunalini Harish Kulkarni; R Sugumar
Journal:  Comput Intell Neurosci       Date:  2022-08-29
  3 in total

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