Latest AI and machine learning research in dermatology for healthcare professionals.
Recent studies have confirmed that white matter hyperintensities (WMHs) accumulated in strategic bra...
Cervical cancer is one of the most frequent cancers in women worldwide, yet the early detection and ...
Acute ischemic stroke (AIS) has been a common threat to human health and may lead to severe outcomes...
Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human-like intelli...
In many medical image classification tasks, there is insufficient image data for deep convolutional ...
Scratching is one of the most important behaviours in experimental animals because it can reflect it...
BACKGROUND: Melanoma has become more widespread over the past 30Â years and early detection is a majo...
Diabetic retinopathy is one of the main causes of blindness in human eyes, and lesion segmentation i...
The acquisition of large-scale medical image data, necessary for training machine learning algorithm...
Systematic perturbation of cells followed by comprehensive measurements of molecular and phenotypic ...
Cervical cancer is the fourth most common cancer in the world. Whole-slide images (WSIs) are an impo...
Convolutional neural networks (CNNs) have become an increasingly popular tool for brain lesion segme...
Whole-slide histology images contain information that is valuable for clinical and basic science inv...
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagno...
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines ca...
Image classification using convolutional neural networks (CNNs) outperforms other state-of-the-art m...
BACKGROUND: Timely recognition of malignant melanoma (MM) is challenging for dermatologists worldwid...
IMPORTANCE: An end-to-end efficacy evaluation approach for identifying progression risk after epider...
OBJECTIVE: Breast cancer is the most common malignancy among women and often requires surgery for th...
Full-field optical coherence tomography (FF-OCT) has been developed to obtain three-dimensional (3D)...
Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesio...