DMIP

Age estimation has attracted attention for its various medical applications. There are many studies on human age estimation from biomedical images. However, there is no research done on mammograms for age estimation, as far as we know. The purpose of ...

The purpose of this research is to make an fNIRS waveform change occur voluntarily when the user remembers the experience of licking a source of strong hot taste. During the training process of the experiment, a quantity of Tabasco that is sufficient to ...

The impact of Artificial Intelligence (AI) on health care has been dramatic; however, there is a considerable degree of skepticism among clinicians about the real-world applicability of advanced predictive models; for this reason, it is particularly ...

This paper mainly looks at the COVID-19 cases in China and focuses on analyzing the cases from February 2020 to April 2020. By fitting mathematical models to Chinese COVID-19 cases, I try to predict how the virus will spread in a newly infected city as ...

As the novel coronavirus disease 2019 (COVID-19) continues to ravage the world, innovative measures to stop its spread and to provide high-quality patient care have become imperative. We present here a real-world case study on Taiwan, which has ...

Tankendo is performed by exchanges of strikes with a light and short bamboo sword at a comparatively short distance. Since quick movements and decision-making determine the winner and the loser, without heavily depending on the physical strength and ...

With the rapid development of network information technology and big data mining technology, data collection, processing and analysis in different industries have begun to use big data Association rule algorithm, decision tree algorithm, etc, perform ...

What makes medical imaging detection based on artificial intelligence detection, segmentation and classification to help doctors better diagnose skin cancers particularly important. Due to the different shape, size, structure, occluding hair and skin ...

Learning to segment MRI sequences is an exciting current application of deep learning networks. Most recent related work on this issue propose architecture modifications and ensembles with voting to try to improve the quality of the result. One relevant ...

For the recognition of feature positions and feature points in face images, it is often necessary to test and iteratively calculate the extracted face feature images with the help of various data extraction and information optimization algorithms, to ...

Blurring is one of the most common types of image degradation. When the blurring function (PSF) is unknown and a degraded image is to be recovered, the conventional method requires the estimation of two unknowns, which are the PSF and its ideal image, ...

The internal features of remote sensing images of plant communities are complex and the boundaries between classes are blurred. The traditional image processing methods based on pixel spectral information cannot make full use of the image feature ...