Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection

The continuous improvements in the area of medical imaging, makes the patient monitoring a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect data from human body through sensors, wireless connectivity etc. The junction of medicine and IT like medical informa...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.132850-132859
Hauptverfasser:	Khan, Muhammad Attique, Kadry, Seifedine, Alhaisoni, Majed, Nam, Yunyoung, Zhang, Yudong, Rajinikanth, Venkatesan, Sarfraz, Muhammad Shahzad
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Automation Bleeding Cancer Data collection Deep learning Fatalities Feature extraction features classification features selection Gastrointestinal tract Hemorrhaging Heuristic methods Image color analysis Internet of Things Medical electronics Medical imaging saliency estimation Stomach Stomach diseases Support vector machines Ulcers WCE
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