Neural Networks in Automatic Diagnosis Malignant Brain Tumors.
DOI: 10.1007/BFb0100545 Conference: Engineering Applications of Bio-Inspired Artificial Neural Networks, International Work-Conference on Artificial and Natural Neural Networks, IWANN '99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II
Automatic Proton Nuclear Magnetic Resonance (1H NMR) spectral based diagnosis malignant brain tumors is analyzed, using Neural Networks for classifying purposes. The Pattern
Recognition has been split into its principal parts or subproblems, adapting each one of them to the special task of analyzing
1H NMR spectra. We study the principal algorithms needed for solving those problems, and finally a distributed object oriented
classifying system is proposed, which attempts to solve the principal problems mentioned in each section.
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.