… endoscopy and offered a practical guide for building a learning image dataset for algorithm
development. Keywords: Artificial intelligence, Deep learning, Gastrointestinal endoscopy …

… growth in very large and detailed image databases. These … mining, machine learning, database,
and artificial intelligence. … new discovery algorithms for mining patterns from image data, …

… images prior to developing or applying AI algorithms. The main steps involved in a typical
medical image preparation pipeline include: (i) image … PET, etc) in central databases and their …

… This is followed by two algorithms focusing on brain image … ), and six algorithms to improve
image processing, with noise and … that this database can serve as a basis for the databases …

… It consists on training algorithm non-medical, everyday images on a large data set and …
randomly selected from the NELSON database. The lung CAD algorithm used in this study was …

This paper is a summary of the author's research process in the developing and designing
the image recognition system based on artificial intelligence. ARTIFICIAL INTELLIGENCE …

… algorithm based on improved BP neural network for ticket number identiŊcation, which is
based on the theory of image … the acquired image can be established and stored in database. …

… expanding skin tone diversity in existing image databases to address the current gap in the
underrepresentation of darker skin tones. Once validated, the image bank will be a valuable …

… as well as for linkage into the MAPS image database and segmentation files generated by
human … The hierarchical searching algorithm is basically an N-ary tree searching algorithm. …

… accessible image databases such as CAMUS, Kaggle, STACOM and UK Biobank … databases,
for which other forms of supervision of machine learning algorithms have been developed …