Latest AI and machine learning research in pathology for healthcare professionals.
PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, art...
Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning a...
Artificial intelligence (AI) for the purpose of this review is an umbrella term for technologies emu...
IMPORTANCE: Histologic classification of colorectal polyps plays a critical role in screening for co...
Despite significant advances in resolution, the potential for cryo-electron microscopy (EM) to be us...
B-mode ultrasound (US) technology is an integral part of diagnosing and assessing risk stratificati...
A deep learning-based image analysis could improve diagnostic accuracy and efficiency in pathology w...
Computer-aided diagnosis systems have been developed to assist doctors in diagnosing thyroid nodules...
Quantifying the extent to which points are clustered in single-molecule localization microscopy data...
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modal...
BACKGROUND: Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen depos...
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) ...
BACKGROUND: The classification of benign versus malignant breast lesions on multi-sequence Magnetic ...
OBJECTIVES: Pneumothorax is the most common and potentially life-threatening complication arising fr...
Current classification systems for thyroid nodules are very subjective. Artificial intelligence (AI...
Radio-frequency dosimetry is an important process in assessments for human exposure safety and for c...
In this research, we present a semi-supervised segmentation solution using convolutional autoencoder...
Having the least lenses, the significant feature of the singlet imaging system, helps the developmen...
Specimen pathology findings collectively impact the long-term outcomes of robot-assisted laparoscop...
Training of a convolutional neural network (CNN) generally requires a large dataset. However, it is ...
INTRODUCTION: Histologic subtypes of malignant pleural mesothelioma are a major prognostic indicator...