Latest AI and machine learning research in pathology for healthcare professionals.
In this work, we determined the tilt angles of molecular units in hierarchical self-assembled materi...
Label-free image identification of circulating rare cells, such as circulating tumor cells within pe...
Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. T...
BACKGROUND: Sentinel lymph node biopsy (SLNB) is a staging procedure dependent on accurate mapping o...
OBJECTIVES: Malignancy of lipomatous soft-tissue tumours diagnosis is suspected on magnetic resonanc...
Cervical cancer is a high-risk disease that threatens women's health globally. In this study, we dev...
Artificial intelligence is rapidly expanding in all technological fields. The medical field, and esp...
PURPOSE: Assessing the metastasis status of the sentinel lymph nodes (SLNs) for hematoxylin and eosi...
Background Photon-counting detector (PCD) CT and deep learning noise reduction may improve spatial r...
Liver fibrosis staging is clinically important for liver disease progression prediction. As the port...
Breast cancer tumor grade is strongly associated with patient survival. In current clinical practice...
INTRODUCTION: Deep learning is a subset of machine learning that has contributed to significant chan...
Ovarian carcinoma has the highest mortality of all female reproductive cancers and current treatment...
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...
PURPOSE: To develop and validate a computer tool for automatic and simultaneous segmentation of five...
Radiomics and machine learning-based methods offer exciting opportunities for improving diagnostic p...
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include co...
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of mortality among...
Registration of multiple stained images is a fundamental task in histological image analysis. In sup...
With the continuous development of artificial intelligence, data-driven fault diagnosis methods are ...
The detection and classification of histopathological cell images is a hot topic in current research...