Melanoma is considered a serious health disease and one of the most dangerous deadly types skin cancer, due to its unlimited spread. Therefore, detection this must be early sound high mortality rate. It driven by researchers' desire use computers obtain accurate diagnostic systems help diagnose detect early. Given growing interest in cancer prediction, we have presented paper, systematic review...

Fairness is essential for trustworthy Artificial Intelligence (AI) in healthcare. However, the existing AI model may be biased its decision marking. The bias induced by data itself, such as collecting subgroups only, can mitigated including more diversified data. Distributed and collaborative learning an approach to involve training models massive, heterogeneous, distributed sources, also known...

Diabetic retinopathy (DR) is an asymptotic and vision-threatening complication among working-age adults. To prevent blindness, a deep convolutional neural network (CNN) based diagnosis can help to classify less-discriminative small-sized red lesions in early screening of DR patients. However, training models with minimal data challenging task. Fine-tuning through transfer learning useful altern...

Pathological myopia (PM) is the seventh leading cause of blindness, with a reported global prevalence up to 3%. Early and automated PM detection from fundus images could aid prevent blindness in world population that characterized by rising prevalence. We aim assess use convolutional neural networks (CNNs) for semantic segmentation myopia-induced lesions on recently introduced reference data se...

Machine learning is a popular method for mining and analyzing large collections of medical data. We focus on a particular problem from medical research, supervised multiple sclerosis (MS) lesion segmentation in structural magnetic resonance imaging (MRI). We examine the extent to which the choice of machine learning or classification algorithm and feature extraction function impacts the perform...

OBJECTIVES To compare the modified Ahlbäck radiological classification with macroscopic analysis of knee injuries and locate a chondral lesion in the tibial plateau, and to correlate this with integrity or lack of integrity of the anterior cruciate ligament. MATERIAL AND METHODS Between July and December 2009, 40 patients of mean age 67.1 years with an indication for total knee arthroplasty w...

Th is work deals with detection of sub-lesions and major lesion in breast ultrasound (US) images. Most of the recent classificat ion uses normal and abnormal breast images to develop their algorithm. The majority of the current algorithms are interested in the major lesion when detecting the lesion boundary. US images, in first step were roughly preprocessed and classified. A function based on ...

Throughout the years, various classifications have evolved for the diagnosis of vascular anomalies. However, it remains difficult to classify a number of such lesions. Because all hemangiomas were previously considered to involute, if a lesion with imaging and clinical characteristics of hemangioma does not involute, then there is no subclass in which to classify such a lesion, as reported in o...

BACKGROUND Balloon pulmonary angioplasty (BPA) is an alternative therapy for patients with chronic thromboembolic pulmonary hypertension who are ineligible for standard therapy, pulmonary endarterectomy. Although there are several classifications of vascular lesions, these classifications are based on the features of the specimen removed during pulmonary endarterectomy. Because organized thromb...