An automated titration system

An automated titration system

Nevertheless there are two fundamentally different ways [2] of identifying sets of data. First, the cumulative collection of test results may be checked for plausibility. Mislabelled [3] results will be recognised if they differ greatly from those recorded earlier. The method, however, is not very effective as Sheiner et al [16] have shown. A Delta check method, [4] controlled by a computer, di...

Lutetium-177 DOTATATE Production with an Automated Radiopharmaceutical Synthesis System

Objective(s): Peptide Receptor Radionuclide Therapy (PRRT) with yttrium-90 (90Y) and lutetium-177 (177Lu)-labelled SST analogues are now therapy option for patients who have failed to respond to conventional medical therapy. In-house production with automated PRRT synthesis systems have clear advantages over manual methods resulting in increasing use in hospital-based radiopharmacies. We report...

An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

A compact automated titration system, applied to a high-precision determination of calcium in sea-water

An Automated Rule Refinement System

Artificial neural networks (ANNs) are essentially a ‘black box’ technology. The lack of an explanation component prevents the full and complete exploitation of this form of machine learning. This chapter presents an historical perspective on rule extraction from artificial neural networks beginning with 6 ways in which the ANN paradigm may be enriched through the addition of rule extraction / e...