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Fluorescence lifetime imaging microscopy (FLIM) has emerged as a promising tool for all scientific studies in recent years. However, the utilization of FLIM data requires complex data modeling techniques, such as curve-fitting procedures. These conventional curve-fitting procedures are not only computationally intensive but also time-consuming. To...
Accurate automatic segmentation of anomalies i.e. ulcers, bleeding regions, polyps, etc. from Wireless Endoscopy Images (WCE) images are absolutely essential for proper diagnosis of diseases. Using a single segmentation method for segmenting all these above-mentioned anomalies is a very challenging task due to their different shapes and characteris...
Due to the immense popularity of the Wireless Capsule Endoscopy (WCE) technique nowadays various researchers proposed several methods for automated detection of abnormalities in WCE images. In this work, we reviewed various recent works conducted by several researchers for polyp and ulcer detection in WCE images. Polyp and ulcer are considered to b...
