… For the diagnosis of pancreatic cancer, research using DIP and pattern recognition remains
rare. In recent studies, Norton et al 21 and Das et al 23 successfully used neural network …

… help with pattern recognition of OCT in neurological disorders is at level of the INL. … differential
diagnosis discussed in this review is presented. The spectrum of the differential diagnosis …

… The main goal of this paper is to show the usefulness of the logic-combinatory approach in
pattern recognition theory for developing auxiliary criteria for differential medical diagnosis, …

… and pattern recognition comes from the study of chess. In the 1960s, de Groot1, 2 performed
an intriguing study comparing the ability to recall chess patterns … a differential diagnosis for …

Spleen lesions and pseudolesions, detected incidentally in imaging, are not uncommon and
may require further work-up. The imaging appearance of focal splenic lesions (FSLs) may …

… Having aroused the reader’s curiosity about pattern recognition, we will next sketch the
basic philosophy and methodological directions in which the various pattern recognition …

… Pattern recognition techniques A supervised pattern recognition algorithm was thus chosen
for the differential diagnosis of skin carcinomas. For this purpose, an initial 4-class library …

… to diagnosis could be termed the pattern recognition approach. This requires the clinician
to match the patients history and findings with a clinical picture of the various diagnostic …

… can assist screening, diagnosis, research, and treatment. Pattern recognition techniques play
a … thus supporting the development of computer-aided diagnosis (CAD) systems. Often this …

… pattern recognition (PR). The concept of metabonomics has arisen from our application of
1 H NMR spectroscopy to study the multi-component metabolic composition of biofluids, cells …