Ventilation scintigraphy is a well-established adjunct to perfusion lung imaging in the diagnosis of pulmonary thromboembolus (PE). Although PE may be diagnosed with a standard chest radiograph and perfusion scintigraphy, the findings may be largely nonspecific due to the many types oflung pathology that result in perfusion defects. The specificity of the perfusion (Q) study may be substantiall...

Pulmonary scintigraphy has a well-established role in the diagnosis of pulmonary embolism (PE). The diagnostic specificity is increased if the perfusion study is combined with assessment of regional ventilation. VQ scans interpreted as either normal, near-normal, or high probability are reasonably diagnostic. Misinterpretation of the VQ scan can result in failure of this simple and noninvasive ...

background : the international study of asthma and allergies in childhood (isaac) is used to define the prevalence and severity of asthma in different regions. in this study we followed the performance of the isaac video and written questionnaires (vq and wq) to classify asthma in 13-14 yr-old schoolchildren.   methods: the present study was carried out on 3540 school children 13 to 14-yrs-old ...

Background: The international study of asthma and allergies in childhood (ISAAC) is used to define the prevalence and severity of asthma in different regions. In this study we followed the performance of the ISAAC video and written questionnaires (VQ and WQ) to classify asthma in 13-14 yr-old schoolchildren. Methods: The present study was carried out on 3540 schoolchildren 13 to 14-yrs-old us...

With the purpose of learning and utilizing explicit dense topic embeddings, we propose three variations novel vector-quantization-based models (VQ-TMs): (1) Hard VQ-TM, (2) Soft (3) Multi-View VQ-TM. The model family capitalize on vector quantization techniques, embedded input documents, viewing words as mixtures topics. Guided by a comprehensive set evaluation metrics, conduct systematic quant...

Although analog semantic communication systems have received considerable attention in the literature, there is less work on digital systems. In this paper, we develop a deep learning (DL)-enabled vector quantized (VQ) system for image transmission, named VQ-DeepSC. Specifically, propose convolutional neural network (CNN)-based transceiver to extract multi-scale features of images and introduce...

The paper presented a reversible image authentication scheme for VQ images using codebook clustering. The proposed method not only locates the alterations of VQ images but also recover the indexes of VQ image without any distortion from the marked VQ indexes after the hidden authentication bits have been extracted. The method uses the codebook clustering to generate four fixed-size small codebo...

This paper is the extension of two-stage vector quantization–(spherical) lattice vector quantization (VQ–(S)LVQ) recently introduced by Pan and Fischer [1]. First, according to high resolution quantization theory, generalized vector quantization–lattice vector quantization (G-VQ–LVQ) is formulated in order to release the constraint of the spherical boundary for the second-stage lattice vector q...