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

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 132850-132859 ◽  
Author(s):  
Muhammad Attique Khan ◽  
Seifedine Kadry ◽  
Majed Alhaisoni ◽  
Yunyoung Nam ◽  
Yudong Zhang ◽  
...  
Keyword(s):  
Capsule Endoscopy ◽  
Gastrointestinal Diseases ◽  
Wireless Capsule Endoscopy ◽  
Features Selection ◽  
Computer Aided ◽  
Wireless Capsule

scholarly journals An Ingenious Design of a High Performance-Low Complexity Image Compressor for Wireless Capsule Endoscopy

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1617
Author(s):  
Ioannis Intzes ◽  
Hongying Meng ◽  
John Cosmas
Keyword(s):  
Power Consumption ◽  
Capsule Endoscopy ◽  
State Of The Art ◽  
Logic Gates ◽  
Low Complexity ◽  
Gastrointestinal Diseases ◽  
Wireless Capsule Endoscopy ◽  
Huffman Coding ◽  
Medical Diagnoses ◽  
Wireless Capsule

Wireless Capsule Endoscopy is a state-of-the-art technology for medical diagnoses of gastrointestinal diseases. The amount of data produced by an endoscopic capsule camera is huge. These vast amounts of data are not practical to be saved internally due to power consumption and the available size. So, this data must be transmitted wirelessly outside the human body for further processing. The data should be compressed and transmitted efficiently in the domain of power consumption. In this paper, a new approach in the design and implementation of a low complexity, multiplier-less compression algorithm is proposed. Statistical analysis of capsule endoscopy images improved the performance of traditional lossless techniques, like Huffman coding and DPCM coding. Furthermore the Huffman implementation based on simple logic gates and without the use of memory tables increases more the speed and reduce the power consumption of the proposed system. Further analysis and comparison with existing state-of-the-art methods proved that the proposed method has better performance.

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