Latest AI and machine learning research in pathology for healthcare professionals.
Despite their crucial role in health and disease, our knowledge of immune cells within human tissues...
This paper proposes a new technique for the construction of a concrete-beam health indicator based o...
AIMS: Artificial intelligence (AI) provides a powerful tool to extract information from digitised hi...
In a growing number of social and clinical scenarios, machine learning (ML) is emerging as a promisi...
The purpose of the research was to discuss the application values of deep learning algorithm-based c...
Lung cancer is one of the most critical diseases due to its significant death rate compared to all o...
Anthrax is a severe infectious disease caused by the Bacillus anthracis bacterium. This paper aims t...
Emerging liquid biopsy methods for investigating biomarkers in bodily fluids such as blood, saliva, ...
Breast cancer is regarded as the leading killer of women today. The early diagnosis and treatment of...
BACKGROUND: Segmenting the whole heart over the cardiac cycle in 4D flow MRI is a challenging and ti...
Artificial intelligence (AI) can extract visual information from histopathological slides and yield ...
The development of simple and accurate methods to predict mutations in proteins remains an unsolved ...
Liver cancer is a malignant tumor with high morbidity and mortality, which has a tremendous negative...
: Malignant bone tumors represent a major problem due to their aggressiveness and low survival rate....
This study was aimed at two image segmentation methods of three-dimensional (3D) U-shaped network (U...
BACKGROUND: We aimed to develop a deep learning-based segmentation system for rapid on-site cytopath...
Digital reconstruction of neuronal structures from 3D microscopy images is critical for the quantita...
Accurate diagnosis and grading of needle biopsies are crucial for prostate cancer management. A urop...
This research used DeepLab v3 + -based semantic segmentation to automatically evaluate the platelet ...
Occlusion-based saliency maps (OBSMs) are one of the approaches for interpreting decision-making pro...
Surgical margin analysis (SMA), an essential procedure to confirm the complete excision of cancerous...