Latest AI and machine learning research in pathology for healthcare professionals.
The surgical pathology workflow currently adopted by clinics uses staining to reveal tissue architec...
A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patien...
In the last four years, advances in Deep Learning technology have enabled the inference of selected ...
AIMS: Immunohistochemistry (IHC) assessment of tissue is a central component of the modern pathology...
Three-photon excitation has recently been demonstrated as an effective method to perform intravital ...
BACKGROUND: Image segmentation is considered an important step in image processing. Fuzzy c-means cl...
The diagnosis of Parkinson's disease (PD) is challenging at all stages due to variable symptomatolog...
Polarization of the mammalian embryo at the right developmental time is critical for its development...
Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed canc...
In order to develop a gripping system or control strategy that improves scientific sampling procedur...
Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highes...
PURPOSE: For the image classification problem, the construction of appropriate training data is impo...
During the last decade, genetic testing has emerged as an important etiological diagnostic tool for ...
Remote health monitoring can help prevent disease at the earlier stages. The Internet of Things (IoT...
BACKGROUND: Erroneous diagnoses of melanocytic lesions (benign, atypical, and malignant types) resul...
In endoscopic maxillary sinus surgery, the maxillary sinus is accessed through the nasal cavity whic...
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of ma...
Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins th...
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial...
Increasingly, highly multiplexed tissue imaging methods are used to profile protein expression at th...
The growing influence of artificial intelligence on radiology not only leads to a fundamental change...