Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Cutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed ...
Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-t...
Psoriasis is a chronic skin disorder, and patients encounter high physical and psychosocial burdens....
PURPOSE: Skin cutaneous melanoma (SKCM) is a highly aggressive melanocytic carcinoma whose high hete...
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of assisted ...
Lipohypertrophy is the most reported cutaneous complication of insulin injection. In cases refracto...
Quantitative biomarkers of facial skin ageing were studied from one hundred healthy Caucasian female...
We demonstrate that isomorphically mapping gray-level medical image matrices onto energy spaces unde...
This study presents an enhanced deep learning approach for the accurate detection of eczema and psor...
Computational de novo drug design is a challenging issue in medicine, and it is desirable to conside...
OBJECTIVE: This study aimed to establish a MRI-based deep learning radiomics (DLR) signature to pred...
Evaluation of scar severity is crucial for determining proper treatment modalities; however, there i...
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in mice. A chal...
This study aimed to compare the performance of deep learning image reconstruction (DLIR) and adaptiv...
In dermatology, deep learning may be applied for skin lesion classification. However, for a given in...
Automated demarcation of stoke lesions from monospectral magnetic resonance imaging scans is extreme...
There is huge demand for recreating human skin with the functions of epidermis and dermis for intera...
Microscopic evaluation of hematoxylin and eosin-stained slides is still the diagnostic gold standard...
BACKGROUND: With rising incidence of skin cancer and relatively increased mortality rates, an improv...
This paper presents a novel method based on a convolutional neural network to recover thermal time c...
Breast cancer is commonly diagnosed with mammography. Using image segmentation algorithms to separat...