In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Abstract: Scanning electron microscope (SEM) image can capture the distribution, topology, and morphology of microstructural constituents of geological materials. Segmentation of SEM image is needed ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Abstract: Cell images play a vital role in biological research and medical diagnoses, as they provide valuable information about the structure and function of cells. Specifically, accurate ...

This research has been conducted at the Institute of Advanced Research in Artificial Intelligence (IARAI). Please note that the structure of pathlist files is slightly different for the classification ...

To avoid the problems of relative overlap and low signal-to-noise ratio (SNR) of segmented three-dimensional (3D) multimodal medical images, which limit the effect of medical image diagnosis, a 3D ...

Neuromuscular disorders are rare diseases for which few therapeutic strategies currently exist. Assessment of therapeutic strategies efficiency is limited by the lack of biomarkers sensitive to the ...

code: Code required to test our model, including calibration files -- files containing the statistical parameters (mean and standard deviation) to perform standardization on each dataset.