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The Evolution of Automated Medical Billing With Artificial Intelligence: A Review With a Global and Saudi Perspective. [PDF]
Nasser LK.
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Enhance the annotation of long noncoding RNAs in the duck genome using multi-tissue transcriptome data. [PDF]
Gao C +14 more
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The near-infrared bacteriophytochrome-derived fluorescent protein PENELOPE enables RESOLFT superresolution microscopy. [PDF]
Stumpf D +13 more
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EXPRESSION OF CONCERN: Long Non-coding RNA Urothelial Cancer-associated 1 Promotes Bladder Cancer Cell Migration and Invasion by Way of the hsa-miR-145-ZEB1/2-FSCN1 Pathway. [PDF]
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Adaptive Entropy-coded Subband Coding Of Images
Proceedings. 1991 IEEE International Symposium on Information Theory, 1992The authors describe a design approach, called 2-D entropy-constrained subband coding (ECSBC), based upon recently developed 2-D entropy-constrained vector quantization (ECVQ) schemes. The output indexes of the embedded quantizers are further compressed by use of noiseless entropy coding schemes, such as Huffman or arithmetic codes, resulting in ...
Y H, Kim, J W, Modestino
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Embedded foveation image coding
IEEE Transactions on Image Processing, 2001The human visual system (HVS) is highly space-variant in sampling, coding, processing, and understanding. The spatial resolution of the HVS is highest around the point of fixation (foveation point) and decreases rapidly with increasing eccentricity.
Wang, Zhou, Bovik, Alan Conrad
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Progressive image coding using trellis coded quantization
IEEE Transactions on Image Processing, 1999In this work, we present coding techniques that enable progressive transmission when trellis coded quantization (TCQ) is applied to wavelet coefficients. A method for approximately inverting TCQ in the absence of least significant bits is developed. Results are presented using different rate allocation strategies and different entropy coders.
A, Bilgin +2 more
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Image coding using wavelet transform
IEEE Transactions on Image Processing, 1992A scheme for image compression that takes into account psychovisual features both in the space and frequency domains is proposed. This method involves two steps. First, a wavelet transform used in order to obtain a set of biorthogonal subclasses of images: the original image is decomposed at different scales using a pyramidal algorithm architecture ...
Antonini, Marc +3 more
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