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Automatic Classification of Laryngeal Lesions based on Vascular Patterns in Contact Endoscopy (INKA Healthtec Innolab @ UMMD)

Projektbearbeiter:
Nazila Esmaeili, Dr. Alfredo Illanes, Prof. Dr. Michael Friebe
Projekthomepage:
Finanzierung:
Stiftungen - Sonstige;
INKA Healthtec Innolab @ UMMD: Contact endoscopy (CE) is a minimally invasive procedure providing real-time information about the cellular and vascular structure of the superficial layer of laryngeal mucosa. This method can be combined with optical enhancement methods such as narrow band imaging (NBI). However, these techniques have some problems like subjective interpretation of vascular patterns and difficulty in differentiation between benign and malignant lesions. We propose a novel automated approach for vessel pattern characterization of larynx CE + NBI images in order to solve these problems.

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