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Early and accurate identification of Parkinsonian syndromes (PS) involving presynaptic degeneration from nondegenerative variants such as scans without evidence of dopaminergic deficit (SWEDD) and tremor disorders is important for effective patient management as the course, therapy, and prognosis differ substantially between the two groups. In this study, we use single photon emission computed tomography...
Detection of Parkinson's disease (PD) at an early stage is important for effective management and for initiating neuroprotective strategies early in the therapeutic process. Single photon emission computed tomography (SPECT) using 123I-Ioflupane (DaTSCANTM, GE Healthcare; also known as [123I]FP-CIT) have shown to be a sensitive marker for PD even in the early stages of the disease. In this paper,...
This paper presents a novel learning based framework to extract articles from newspaper images using a Fixed-Point Model. The input to the system comprises blocks of text and graphics, obtained using standard image processing techniques. The fixed point model uses contextual information and features of each block to learn the layout of newspaper images and attains a contraction mapping to assign a...
Given a part of a document image taken with any camera at an arbitrary orientation and sometimes far-from-perfect illumination, an important problem is to match this query image to the corresponding full image from a document database. We propose a novel multi-resolution robust methodology for the same. The method combines information from independent sources of measurement in a probabilistic framework...
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