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 ...

Kidney cancer is a serious malignant disease, and early diagnosis along with precise segmentation are crucial for effective treatment. However, due to the scarcity of labelled medical image data, the ...

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 ...

Identification of individual cells in tissues, organs, and in various developing systems is a well-studied problem because it is an essential part of objectively analyzing quantitative images in ...

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.

Medical imaging includes different modalities and processes to visualize the interior of human body for diagnostic and treatment purpose. However, one of the most common degradations in medical images ...