Active contour models are of great importance for image segmentation and can extract smooth closed boundary contours the desired objects with promising results. However, they cannot work well in presence intensity inhomogeneity. Hence, a novel region-based active model is proposed by taking intensities 'vesselness values' from local phase-based vesselness enhancement into account simultaneously to define multi-feature Gaussian distribution fitting energy this paper. This then incorporated...

Many studies have proven the usefulness of biofluid-based infrared spectroscopy in clinical domain for diagnosis and monitoring progression diseases. Here we present a state-of-the-art study forensic field that employed Fourier transform microspectroscopy postmortem sudden cardiac death (SCD) by situ biochemical investigation alveolar edema fluid lung tissue sections. The results amide-related spectral absorbance analysis demonstrated pulmonary SCD group was richer protein components than...

Lung cancer (LC) remains the most commonly diagnosed cancer. Timely diagnosis is crucial for improving clinical outcomes of LC patients. Serum molecular patterns reflect physiological and pathological status individuals, are promising as diagnostic targets malignancies. Here, we report a spectroscopic method rapid identification based on label-free fingerprinting serum samples with slippery liquid-infused porous surface-enhanced Raman spectroscopy (SLIPSERS). We first demonstrate capability...

In recent years, the diabetes population has grown younger. Therefore, it become a key problem to make timely and effective prediction of diabetes, especially given single data source. Meanwhile, there are many sources patients collected around world, is extremely important integrate these heterogeneous accurately predict diabetes. For different used predictors may be different. other words, some special features exist only in certain sources, which leads missing values. Considering...

Gout is one of the most painful diseases in world. Accurate classification gout crucial for diagnosis and treatment which can potentially save lives. However, current methods classifying periods have demonstrated poor performance received little attention. This due to a significant data imbalance problem that affects learning attention majority minority classes. To overcome this problem, resampling method called ENaNSMOTE-Tomek link proposed. It uses extended natural neighbors generate...

There is an increasing need to study dynamic changing systems with significantly high spatial and temporal resolutions. In this work, we integrated point-scanning, line-scanning, wide-field Raman imaging techniques into a single system. By using Electron Multiplying CCD (EMCCD) gain frame rate, reduced the time required for imaging, making it possible monitor electrochemical reactions in situ. The highest rate of EMCDD was ∼50 fps, images specific peak can be obtained by passing signal from...

Myocardial infarction is a type of heart disease marked by rapid progression and high mortality. In this paper, novel intelligent recognition algorithm multiple myocardial infarctions using bidirectional long short-term memory (BiLSTM) neural network classification was proposed. This based on morphological feature extraction, which can greatly improve the diagnostic efficiency doctors for different kinds diseases. The includes noise reduction beat segmentation electrocardiogram (ECG) signals...

It is difficult to determinate the cause of death from exposure fatal hypothermia and hyperthermia in forensic casework. Here, we present a state-of-the-art study that employs Fourier-transform infrared (FTIR) spectroscopy investigate hypothalamus tissues hypothermic, hyperthermic normothermic rats determine forensically significant biomarkers related hyperthermia. Our results revealed spectral variations lipid, protein, carbohydrate nucleic acid components are highly different for...

Abstract Biometrics recognition takes advantage of feature extraction and pattern to analyze the physical behavioral characteristics biological individuals achieve purpose individual identification. As a typical biometric technology, palm print vein have high rate, stable features, easy location good image quality, which attracted attention researchers. This paper designs develops multispectral acquisition platform, can quickly acquire spectrum images with seven different wavelengths. We...

Raman spectroscopy, a potential tool in diagnosis of malignant pheochromocytoma/paraganglioma.

In forensic practice, the nonspecificity of macroscopic and microscopic findings renders diagnosis fatal hypothermia an ongoing challenge for pathologists. Thus, development new methods to help improve accurate is needed. this study, attenuated total reflection (ATR) Fourier transform infrared (FTIR) spectroscopy in combination with chemometrics was employed characterize rabbit vitreous humour (VH) hypothermia. First, a statistical analysis spectra from two groups revealed that nucleic acid...

Based on the data analysis technology of Internet things, big and multimodal physiological characteristics, it is possible to realize more timely accurate telemonitoring health care by monitoring information human body intelligent unstructured in real time. This paper proposes a remote healthcare framework based fusion, which integrates acquisition system sensor network, fusion cloud computing service platform, collaborative diagnosis treatment expert decision support system. The development...

LC-MS/MS uses information on the mass peaks and peak areas of samples to conduct quantitative analysis. However, in detection clinical samples, spectrograms compounds are interfered with for different reasons, which makes identification chromatographic more difficult. Therefore, improve interference problem, this paper first proposes a multi-window-based signal-to-noise ratio estimation algorithm, contains steps raw data denoising, identification, area calculation curve fitting obtain...

In image-guide intervention, 2D/3D image registration provides the surgeon with precise positions of patient. Successful involves many aspects, such as similarity measures and optimization methods, they had different influence on results. order to investigate respective methods in registration, a comparison was performed by combining five four using publicly available porcine skull phantom datasets from Medical University Vienna. The experiments were evaluated based success rate time....

Bio-optical imaging can noninvasively describe specific biochemical reaction events in small animals using endogenous or exogenous reagents to label cells, proteins, DNA. The fluorescence optical bio-imaging system excites the fluorescent group a high energy state by excitation light and then generates emission light. However, many substances organism will also emit after being excited light, nonspecific generated affect detection sensitivity. This paper designs develops set of high-level...