Latest AI and machine learning research in dermatology for healthcare professionals.
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) r...
 Pronator quadratus (PQ) is a deeply situated muscle in the forearm which may occasionally be utili...
Five different tea varieties (white, green, oolong, black and pu-erh) were infused, drained and used...
BACKGROUND: Uveal melanoma (UM) is the most common primary intraocular malignancy in adults. Monosom...
Accumulating evidence suggests M2 macrophages contribute to tissue reparation and limit inflammation...
The early screening and diagnosis of tuberculosis plays an important role in the control and treatme...
Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs) to classify ...
BACKGROUND: MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (...
Dermoscopic images are widely used for melanoma detection. Many existing works based on traditional ...
The segmentation of the lesion plays a core role in diagnosis and monitoring of multiple sclerosis (...
PURPOSE: To improve disease severity classification from fundus images using a hybrid architecture w...
Effective diagnosis of skin tumours mainly relies on the analysis of the characteristics of the lesi...
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treat...
Skin lesion datasets consist predominantly of normal samples with only a small percentage of abnorma...
The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarke...
Skin lesion border irregularity is considered an important clinical feature for the early diagnosis ...
BACKGROUND: Melanoma is a type of superficial tumor. As advanced melanoma has a poor prognosis, earl...
Metastasis development represents an important threat for melanoma patients, even when diagnosed at ...