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Titlebook: ICTMI 2017; Proceedings of the I Balázs Gulyás,Parasuraman Padmanabhan,Sundramurthy Conference proceedings 2019 Springer Nature Singapore P

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樓主: 戲弄
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發(fā)表于 2025-3-28 16:14:29 | 只看該作者
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發(fā)表于 2025-3-28 18:59:50 | 只看該作者
Springer Nature Singapore Pte Ltd. 2019
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發(fā)表于 2025-3-28 23:16:25 | 只看該作者
https://doi.org/10.1007/978-981-13-1477-3Molecular Imaging; Medical Image Processing; Cancer Therapy; Translational Research; Neuro Degeneration;
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發(fā)表于 2025-3-29 03:40:28 | 只看該作者
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發(fā)表于 2025-3-29 09:44:06 | 只看該作者
Synthesis, Characterization, and MRI Properties of Cysteamine-Stabilized Cadmium Zinc Selenide (Cd(he imaging probe should have both fluorescence property and magnetic property, so that it can be used in both fluorescence imaging system and magnetic resonance imaging (MRI). . Cd(Zn)Se quantum dots (QDs) were synthesized using cysteamine hydrochloride as a stabilizing agent by wet chemical reactio
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發(fā)表于 2025-3-29 13:45:15 | 只看該作者
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發(fā)表于 2025-3-29 17:12:06 | 只看該作者
Noninvasive Quantitative Tissue Biopsy Using Precise Optical Phantoms,ive routine. Fabrication and characterization of precise optical phantoms are critical in the development of quantitative optical biopsy instrumentation. Biological tissue is a heterogeneous and multilayer structure, and currently available optical phantoms fail in replicating the desired tissue in
48#
發(fā)表于 2025-3-29 22:28:10 | 只看該作者
BAT Optimization-Based Vector Quantization Algorithm for Compression of CT Medical Images,ys a vital role, and hence, the choice of compression algorithm is necessary. The medical images are analysed by the physicians for the diagnosis of anomalies. . Linde Buzo Gray (LBG) is a classical algorithm for vector quantization; it produces a local optimum codebook that results in low compressi
49#
發(fā)表于 2025-3-30 02:34:56 | 只看該作者
50#
發(fā)表于 2025-3-30 05:32:59 | 只看該作者
Finger Movement Pattern Recognition from Surface EMG Signals Using Machine Learning Algorithms,tic devices. This work proposes and tests different algorithms for classifying finger movements with surface electromyogram (EMG) sensors. The data is collected from a state-of-the-art myoelectric sensor MyoBand, which gives an eight-channel EMG data. The eight finger motion primitives utilized are
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