Latest AI and machine learning research in pathology for healthcare professionals.
The characteristic patterns of mass spectra in imaging mass spectrometry (IMS) strongly reflect the ...
BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for...
The use of machine learning (ML) for diagnosis support has advanced in the field of health. In the p...
Despite the recent progress in Deep Neural Networks (DNNs) to characterize histopathology images, co...
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant accumulation of imma...
INTRODUCTION: A Doppler ultrasound (DUS) is essential for detecting blood flow abnormalities in the ...
Acute Lymphoblastic Leukemia (ALL) is cancer in which bone marrow overproduces undeveloped lymphocyt...
The efficient biological signal processing method can effectively improve the efficiency of research...
This article uses microscopy images obtained from diverse anatomical regions of macaque brain for ne...
Visual representation extraction is a fundamental problem in the field of computational histopatholo...
Liver cancer is a life-threatening illness and one of the fastest-growing cancer types in the world....
In this study, a D-galactose-induced aging mouse model was established, and Syringa oblata Lindl. ex...
OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead t...
Tissue recognition is a critical process during a Robot-assisted minimally invasive surgery (RMIS) a...
Infectious diseases have always been a major threat to the survival of humanity. Additionally, they ...
Prostate cancer is one of the most common cancers in men worldwide, second only to lung cancer. The ...
PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscatte...
The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed to...
The interpretation of conventional MRI may be limited by the two-dimensional presentation of the ima...
In this work, a dedicated end-to-end deep convolutional neural network, named as Triple-CBCT, is pro...
BACKGROUND: As a pioneer center in the field of stereotaxy, Sainte-Anne school has always advocated ...