Latest AI and machine learning research in pathology for healthcare professionals.
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer...
Applications of artificial intelligence and particularly deep learning to aid pathologists in carryi...
Mastitis in dairy cattle is extremely costly both in economic and welfare terms and is one of the mo...
The advent of transoral robotic surgery (TORS) has allowed transoral approaches for parapharyngeal s...
Studies have shown that the use of artificial intelligence can reduce errors in medical image assess...
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our pre...
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative rec...
Liquid-based cytology (LBC) is a reliable automated technique for the screening of Papanicolaou (Pap...
Pathology is the cornerstone of cancer care. The need for accuracy in histopathologic diagnosis of c...
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...
Bioinspired soft robotic systems that mimic living organisms using engineered muscle tissue and biom...
Breast cancer is the most diagnosed cancer among women around the world. The development of computer...
Tissue diagnostics is the world of pathologists, and it is increasingly becoming digitalised to leve...
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. While there are a number of ...
The diagnosis of cervical dysplasia, carcinoma in situ and confirmed carcinoma cases is more easily ...
OBJECTIVE: The microscopic review of hematoxylin-eosin-stained images of focal cortical dysplasia ty...
There is a growing need for fast and accurate methods for testing developmental neurotoxicity across...
Recently, the inflammation of the intestinal mucosa has been related to many diseases in humans and ...
PURPOSE: The type of pituitary adenoma (PA) cannot be clearly recognized with preoperative magnetic ...
Optical tissue transparency permits scalable cellular and molecular investigation of complex tissues...
For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterizat...