Latest AI and machine learning research in pathology for healthcare professionals.
We sought to propose an innovative vessel blood flow tracking (VBFT) method to extract coronary arte...
OBJECTIVE: To distinguish benign from malignant cystic renal lesions (CRL) using a contrast-enhanced...
Early detection of malignant thyroid nodules leading to patient-specific treatments can reduce morbi...
Epithelial proliferation in the rat mammary gland is recommended in regulatory guidelines as an endp...
A supervised CNN Deep net classifier is proposed for the detection, classification and diagnosis of ...
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia. The clinical ass...
Biomedical research relies on identification and isolation of specific cell types using molecular bi...
BACKGROUND AND OBJECTIVE: Prostate cancer (PCa) is a severe public health issue and the most common ...
BACKGROUND: Distinguishing benign inverted papilloma (IP) tumors from those that have undergone mali...
BACKGROUND: Advanced stages of different renal diseases feature glomerular sclerosis at a histologic...
Diagnosis of myelodysplastic syndrome (MDS) mainly relies on a manual assessment of the peripheral b...
Improvements in microscopy software and hardware have dramatically increased the pace of image acqui...
AIMS: We evaluated the performance of contrast-enhanced ultrasound (CEUS) based on radiomics analysi...
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus images. ...
Robot-assisted ureteral reimplantation (RAUR) is a relatively new minimally invasive procedure. As ...
Inspired by the dynamic process of initial bone development, in which a soft tissue turns into a sol...
The coronavirus pandemic (COVID-19) is disrupting the entire world; its rapid global spread threaten...
PURPOSE: To develop a machine-learning-based radiomics signature of ADC for discriminating between b...
Artificial intelligence (AI), including deep learning methods that leverage neural network-based alg...
Cell detection and tracking applied to in vivo fluorescence microscopy has become an essential tool ...
Whole-genome sequencing resolves many clinical cases where standard diagnostic methods have failed. ...