Latest AI and machine learning research in pathology for healthcare professionals.
Autofluorescence lifetime images reveal unique characteristics of endogenous fluorescence in biologi...
In current clinical practice, thyroid nodules in children are generally evaluated on the basis of r...
INTRODUCTION: Predicting pathological complete response (pCR) for patients receiving neoadjuvant che...
UNLABELLED: Magnetic Resonance Elastography (MRE) is a developing imaging technique that enables non...
Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to ...
Invasive breast carcinomas are routinely tested for HER2 using immunohistochemistry (IHC), with refl...
OBJECTIVES: Computer-aided triaging (CAT) and computer-aided diagnosis (CAD) of screening breast mag...
BACKGROUND AND OBJECTIVES: Deep learning utilizing convolutional neural networks (CNNs) applied to h...
PURPOSE: Robot-assisted simple prostatectomy (RASP) for benign prostatic hyperplasia (BPH) is a rece...
Core needle biopsy (CNB) is a method that can be used as an alternative to fine-needle aspiration fo...
The segmentation of cervical cytology images plays an important role in the automatic analysis of ce...
Histopathological images contain abundant phenotypic information and pathological patterns, which ar...
With robotic-assisted minimally invasive surgery (RAMIS), patients and surgeons benefit from a reduc...
DNA methylation is closely related to the occurrence and development of many diseases, but its role ...
In recent years, deep learning has been used to develop an automatic breast cancer detection and cla...
A data driven method-based robot joint fault diagnosis method using deep residual neural network (DR...
A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. St...
The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-...
OBJECTIVE: We aimed to develop a computer-aided detection (CAD) system for accurate identification o...
Pathologists need a lot of clinical experience and time to do the histopathological investigation. A...
Multiple computational approaches have been developed to improve our understanding of genetic varian...