Early screening for colon cancer (CC) allows for early stage diagnosis of the malignancy
and potentially reduces disease mortality as the cancer is most likely curable at its earliest …

Searching for new biometric traits is currently a necessity because traditional ones such as
fingerprint, voice, or face are highly prone to forgery. For this reason, the study of bioelectric …

A number of techniques have been proposed earlier for feature extraction using image
binarization. Efficiency of the techniques was dependent on proper threshold selection for …

In typical machine learning applications such as information retrieval, precision and recall
are two commonly used measures for assessing an algorithm's performance. Symmetrical …

Information identification with image data by means of low‐level visual features has evolved
as a challenging research domain. Conventional text‐based mapping of image data has …

Feature vector extraction has been the key component to define the success rate for content
based image recognition. Block truncation coding is a simple technique which has facilitated …

A surge of concern has been witnessed to manage the growing size of image information
available from various sources namely internet and digital image capturing devices. The rich …

It is essential that diagnostic screening for Colon cancer [CC], which is the process of
looking for the disease in people showing no symptoms for malignancy, needs to be carried …

In usual real-world clustering problems, the set of features extracted from the data has two
problems which prevent the methods from accurate clustering. First, the features extracted …

Image data has emerged as a resourceful foundation for information with proliferation of
image capturing devices and social media. Diverse applications of images in areas …