Ultrasonic diagnostic is the simple and effective method for detection of anomalies of thyroid gland, and in particular nodules.— new growths which are different from health tissue by. eсhogenity .There are 3 types of nodules iso-,hyper- and inechogenic. Isoehogenic nodules have the same density as the health tissue, and may be poorly distinguishable in the image. Two other types differ from health tissue by light.
To reveal nodules we apply the machine learning method based on using Haralick texture features and multifractal spectrum. The image is represented by a set of non-overlapping blocks containing both normal tissue and nodules. The blocks are determined after preliminary markup performed by a medical specialist. Texture features are caculated for each block.
For machine learning SVM method was taken as a model, Thanks to the block-based approach, the application implements the capability to localize a nodule within the image.
Original languageEnglish
Title of host publicationOn the analysis of thyroid gland ultrasonic images by the methods of Haralic and local density function
Place of PublicationСофия
PublisherСофийский технический университет
Pages11-15
Number of pages5
ISBN (Print)1314-2100
StatePublished - 21 Oct 2025
Event19 international conference Communication Electr4omagnetics and Medical Application CEMA 25 -
Duration: 20 Oct 202521 Oct 2025
Conference number: 19
http://CEMA_2025_proc.pdf

Conference

Conference19 international conference Communication Electr4omagnetics and Medical Application CEMA 25
Abbreviated titleCEMA 25
Period20/10/2521/10/25
Internet address

ID: 142930170