« Projekte
Sie verwenden einen sehr veralteten Browser und können Funktionen dieser Seite nur sehr eingeschränkt nutzen. Bitte aktualisieren Sie Ihren Browser. http://www.browser-update.org/de/update.html
Thyroid Texture Classification and Volume Monitoring using Autoregressive Modelling and Machine Learning Approaches
Projektbearbeiter:
M.Sc. Prabal Poudel, Dr.-Ing. Alfredo Illanes
Finanzierung:
Fördergeber - Sonstige;
Forschergruppen:
Thyroid Texture Classification and Volume Monitoring using Autoregressive Modelling and Machine Learning Approaches
Thyroid diseases often involve change in the shape and size of thyroid over time. Hence, we propose a novel approach of thyroid texture classification and finally volume monitoring using Autoregressive (AR) Modelling. Several features are extracted from thyroid and non-thyroid regions using AR modelling to train various machine learning based classifiers which later are used for thyroid texture classification and ultimately segmentation. The segmented 2D thyroid images from a freehand thyroid Ultrasound scan are used in the final stage to produce a 3D thyroid after 3D reconstruction. The volume of this 3D thyroid is monitored over time to diagnose any possible thyroid related diseases.

Kooperationen im Projekt

Kontakt

weitere Projekte

Die Daten werden geladen ...