Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

To solve the problems of low accuracy, low real-time performance, poor robustness and
others caused by the complex environment, this paper proposes a face mask recognition …

The authors investigated the classification of regions of interest (ROI's) on mammograms as
either mass or normal tissue using a convolution neural network (CNN). A CNN is a …

A computer-assisted diagnostic (CAD) method and appara tus are described for the
enhancement and detection of suspicious regions in digital X-ray images. with particular …

Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had
a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images …

Background. Leukemia is fatal cancer in both children and adults and is divided into acute
and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis …

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer
vision and image recognition creating widespread opportunities of using artificial …

Decision making in case of medical diagnosis is a complicated process. A large number of
overlap** structures and cases, and distractions, tiredness, and limitations with the human …

Glaucoma is a group of disease often causing visual impairment without any prior
symptoms. It is usually caused due to high intra ocular pressure (IOP) which can result in …