DMIP

In this article, we use the parameter-adaptive Super4PCS algorithm to achieve high-precision registration of medical point clouds. First, generate the corresponding point cloud from the biological data (CT, MRI) to be registered. Then analyze the ...

Computed tomography (CT) is a three-dimensional medical imaging modality that uses X-ray beams to generate cross-sectional images of the human anatomy. Although CT is widely used in medical diagnosis, the presence of metal implants often severely impair ...

In this paper, we review the problem of identifying a Linear Transformation applied on an image. Three major parts are presented, all involved the use of Radon Transform: First, recovering a sequence of basic transformations on an image; namely, ...

The recovery of shapes from a few numbers of their projections is very important in Computed tomography. In this paper, we propose a novel scheme based on a collocation set of Gaussian functions to represent any object by using a limited number of ...

Considering that it is difficult to completely segment the spider mite image on the leaves of field crops from the leaf background, a combination segmentation method combining K-means clustering algorithm and Canny edge detection algorithm is proposed. ...

In order to enhance the auto-focus detection ability of digital images exposed by a single strong light source, an optimized recognition method of digital image target points based on machine vision tracking learning is proposed. Establishing a single ...

Motivation: Coronavirus disease (COVID-19) struck the world in late 2019 and caused millions of deaths worldwide as an infectious disease caused by the SARS-CoV-2 virus. An effective and early diagnosis is truly pivotal, and thus, many studies were ...

Ageing is a significant process happening in all humans and close related to health and lifetime. However, the mechanism of ageing is poorly understood. Getting to know about which specific genes control ageing-related diseases can be a great help of ...

For any system, its reliability and the cost of construction have always been two major determinants of whether it can be used daily. In the field of voiceprint recognition, people are often forced to choose between accuracy and convenience. This paper ...

Wearing a mask hides half of a face, making it difficult to recognize using face recognition. This raises the problem of it being impossible to identify the whereabouts of a person because their face cannot be recognized. In this paper, we aim to improve ...

Pathological lymph node segmentation plays a vital role in clinical practice. Yet it is still a challenging problem owing to low contrast to surrounding structures on images. In this paper, we investigate the problem whether the classical median filter ...

This research analyzes how exogenous factors (EF) influence the complications of Systemic Lupus Erythematosus by region in Peru (Costa, Sierra and Selva). Three studies are presented: The first study determines how EF complicates the clinical ...

Objective: To solve the problem of invasive detection of neonatal jaundice and prone to infection. Methods: A neonatal jaundice detector based on color sensing was proposed. The microprocessor controls the color sensor to read the RGB color components of ...

This paper studies the movement characteristics of aerosol particles produced by human cough behavior, and on this basis, the influence of different air distribution forms on the distribution and movement characteristics of aerosol particles in simple ...