Image based region recognition in gastrointestinal endoscopy

• Autorzy: Frączek, R. , Duplaga, M.
• Języki publikacji: EN

Abstrakty

EN

Capsule endoscopy was introduced to gastroenterology with the aim of improvement of the diagnostics means for these parts of gastrointestinal tract which are difficult to reach with a classical endoscopy. Modern capsules are equipped with an on-board light source and a camera Acquired images are transmitted to a video recorder. The next generation capsule that is developed within the VECTOR (Versatile Endoscopic Capsule for gastrointestinal TumOr Recognition and therapy) project will also make it possible to transmit a video stream in real-time. The video recording generated by the endoscopic capsule during its passage through gastrointestinal tract is of a considerable length and the automatic detection of its specific regions would enhance diagnostic capacity of the procedure. Therefore, a special algorithm has been developed and implemented in C++. The algorithm is meant to be used for automatic region classification within video recordings (streams) that can be obtained with an endoscopic capsule.

Słowa kluczowe

PL

rozpoznawanie obrazów; sieci neuronowe; endoskopia; mpeg-7

EN

image recognition; neural networks; endoscopy; mpeg-7

• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2010
• Tom: Vol. 6, no. 12
• Strony: 53--57
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Frączek, R.

• Centre of Innovation, Technology Transfer and University Development, Jagiellonian University, Czapskich Str.4, 31-110 Kraków, Poland,

autor

Duplaga, M.

• Centre of Innovation, Technology Transfer and University Development, Jagiellonian University, Czapskich Str.4, 31-110 Kraków, Poland,
• Jagiellonian University Collegium Medicum, Grzegórzecka Str. 20, 31-531 Kraków, Poland

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