This paper explores a method of recognition applicable to a wide range of problems.It adopts a syntactic or structural approach, which involves viewing an object i n t e n n s of its simpler components. I n the specific example of aircraft recognition, this entails decomposing an aircrafi into entities such as a nose, fuselage, tail and wings. Each component may then be further decomposed as a set of pixels. The process of recognition requires finding sets of pixels forming such components and then sets of these components forming an aircraft. This is implemented by a Quadratic Neural Network.
Practical micro-imaging deep in solid tissues will open up new avenues in research on clinical diagnosis and treatment of disease. We report on our recent advances in optical microscope-in-a-needle technology capable of 3D micro-imaging in situ.
Assessment of lymph node involvement is a key prognostic marker in early breast cancer. This paper demonstrates the ability of optical coherence tomography (OCT) to characterise the micro-architecture of healthy, non-cancerous lymph nodes. OCT is shown to differentiate stroma, cortex and adipose tissue. Characteristic patterns are also identified for germinal centres and blood vessels within the node. Results are correlated against a histopathological gold standard.
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