Latest AI and machine learning research in dermatology for healthcare professionals.
Automatic segmentation of infected lesions from computed tomography (CT) of COVID-19 patients is cru...
We aimed to develop an explainable and reliable method to diagnose cysts and tumors of the jaw with ...
Deep learning methods, especially convolutional neural networks, have been successfully applied to l...
This research was aimed at exploring the application value of coronary angiography (CAG) based on a ...
Immune checkpoint therapies such as PD-1 blockade have vastly improved the treatment of numerous can...
We fabricated a nanowire-channel intrinsically stretchable neuromorphic transistor (NISNT) that perc...
Since the results of basic and specific classification in male androgenetic alopecia are subjective,...
Skin toxicity is a common safety concern associated with drugs that inhibit epidermal growth factor ...
Automatic skin lesion analysis in terms of skin lesion segmentation and disease classification is of...
PURPOSE: Effective and efficient haptic guidance is desirable for tele-operated robotic surgery beca...
1. Footpad dermatitis (FPD) can be used as an important indicator of animal welfare and for economic...
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irre...
Psoriasis is a chronic inflammatory skin disorder mediated by the immune response that affects a lar...
Artificial intelligence (AI), including deep learning methods that leverage neural network-based alg...
Object recognition is among the basic survival skills of human beings and other animals. To date, ar...
Diagnosis based on histopathology for skin cancer detection is today's gold standard and relies on t...
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease t...
Recent years have seen a steep rise in the number of skin cancer detection applications. While moder...
Atopic dermatitis (AD) is a common skin disease in childhood whose diagnosis requires expertise in d...
Deep learning methods, especially convolutional neural networks, have advanced the breast lesion cla...
The mitotic count (MC) is an important histological parameter for prognostication of malignant neopl...