Latest AI and machine learning research in pathology for healthcare professionals.
Accurate assessment of spinal cord vasculature is important for the urgent diagnosis of injury and s...
Ultrasound localization microscopy (ULM) is a novel super-resolution imaging technique that can imag...
Ultrasound localization microscopy (ULM) overcomes the acoustic diffraction limit by localizing tiny...
PURPOSE: Deep learning is a promising approach to increase reproducibility and time-efficiency of gr...
Histopathological analysis of whole slide images (WSIs) has seen a surge in the utilization of deep ...
PURPOSE: This paper presents a deep learning-based multi-label segmentation network that extracts a ...
Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporatio...
INTRODUCTION: Heart failure (HF) is a complex clinical syndrome. Accurate risk stratification and ea...
In the domain of histopathology analysis, existing representation learning methods for biomarkers pr...
The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in...
Lignin is a naturally derived biomacromolecule with excellent biocompatibility and the potential for...
To address the challenge of low recognition accuracy in transformer fault detection, a novel method ...
Self-supervised learning (SSL) has gained attention in the medical field as a deep learning approach...
Accurate semantic segmentation of histopathological images plays a crucial role in accurate cancer d...
Bladder, kidney, and prostate cancers are prevalent urinary cancers, and developing efficient detect...
BACKGROUND: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal grow...
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epid...
OBJECTIVE: Artificial intelligence (AI) tools for histological diagnosis offer great potential to he...
Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical t...
Abnormal locomotor patterns may occur in case of either motor damages or neurological conditions, th...
This study introduces HCC-Net, a novel wavelet-based approach for the accurate diagnosis of hepatoce...