Thyroid nodules investigation based on an artificial neural network

Auteur/ices

  • Dorin Bibicu Faculty of Economics and Business Administration, Business Administration Department, Dunarea de Jos University of Galati, Romania
  • Luminița Moraru Faculty of Sciences and Environment, Physics Department, Dunarea de Jos University of Galati, Romania.
  • Simona Moldovanu Faculty of Control Systems, Computers, Dunarea de Jos University of Galati, Romania

Mots-clés :

thyroid nodules, CAD software, image processing, artificial neural network

Résumé

The image processing techniques widely use ultrasound images. Among them, the artificial neural network techniques (ANN) are successfully used in the field of segmentation and recognition of various objects in digital images. This paper proposes a more robust and efficient method for segmenting thyroid nodules in ultrasound images. We proposed and successfully developed a Computer Aided Diagnosis (CAD) software application based on an ANN to automatically identify the presence of the thyroid nodules. The CAD algorithm has the following steps: de-noising, segmentation and ANN classification. Finally, we tested and validated the CAD efficiency.

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Publiée

2017-06-11

Numéro

Rubrique

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Comment citer

« Thyroid nodules investigation based on an artificial neural network » (2017) Analele Universității ”Dunărea de Jos” din Galați. Fascicula II, Matematică, fizică, mecanică teoretică / Annals of the ”Dunarea de Jos” University of Galati. Fascicle II, Mathematics, Physics, Theoretical Mechanics, 40(1), p. 43–54. Disponible sur: https://ojs.ugal.ro/index.php/math/article/view/1247 (Consulté le: 2 novembre 2026).

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