In this paper, we propose a novel Low-cost U-Net (LCU-Net) for the Environmental
Microorganism (EM) image segmentation task to assist microbiologists in detecting and …

Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of
environmental changes, and decomposition of waste materials. However, some of them are …

In this paper, we propose a novel U-Net with fully connected residual blocks (FCRB U-Net)
for the fetal cerebellum Ultrasound image segmentation task. FCRB U-Net, an improved …

To assist researchers to identify Environmental Microorganisms (EMs) effectively, a
Multiscale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this …

Information about counts and percentages of each type of leukocytes in blood is much
needed to diagnose patients' illness. To gain that information, some functional …

In this paper, we propose a Multiple Receptive Field U-Net (MRFU-Net) for an
Environmental Microorganism (EM) image segmentation task to assist microbiologists to …

A virus is an infectious agent too small to be seen directly with a light microscope. They are
not made of cells and can only replicate inside the cells of another organism (the viruses' …

Radiologists can identify Covid-19 using information from an X-ray of the chest scan.
However, X-ray visual analysis takes time. Consequently, it's essential to create algorithms …

Medical imaging is the technique and process used to create images of the human body or
medical science. Digital image processing is the use of computer algorithms to perform …

The segmentation is the prominent stage in image processing, where a significant
commitment is made during automated analysis by delineating structures of interest and …