New Trends in Melanoma Detection Using Neural Networks: A Systematic Review.

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the reason why many researchers in this domain wanted to obtain accurate computer-aided diagnosis systems to assist in the early detection and diagnosis of such diseases. The paper presents a systematic review of recent advances in an area of increased interest for cancer prediction, with a focus on a comparative perspective of melanoma detection using artificial intelligence, especially neural network-based systems. Such structures can be considered intelligent support systems for dermatologists. Theoretical and applied contributions were investigated in the new development trends of multiple neural network architecture, based on decision fusion. The most representative articles covering the area of melanoma detection based on neural networks, published in journals and impact conferences, were investigated between 2015 and 2021, focusing on the interval 2018-2021 as new trends. Additionally presented are the main databases and trends in their use in teaching neural networks to detect melanomas. Finally, a research agenda was highlighted to advance the field towards the new trends.

Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.

The main purpose of the study was to develop a high accuracy system able to diagnose skin lesions using deep learning-based methods. We propose a new decision system based on multiple classifiers like neural networks and feature-based methods. Each classifier (method) gives the final decision system a certain weight, depending on the calculated accuracy, helping the system make a better decision. First, we created a neural network (NN) that can differentiate melanoma from benign nevus. The NN architecture is analyzed by evaluating it during the training process. Some biostatistic parameters, such as accuracy, specificity, sensitivity, and Dice coefficient are calculated. Then, we developed three other methods based on convolutional neural networks (CNNs). The CNNs were pre-trained using large ImageNet and Places365 databases. GoogleNet, ResNet-101, and NasNet-Large, were used in the enumeration order. CNN architectures were fine-tuned in order to distinguish the different types of skin lesions using transfer learning. The accuracies of the classifications were determined. The last proposed method uses the classical method of image object detection, more precisely, the one in which some features are extracted from the images, followed by the classification step. In this case, the classification was done by using a support vector machine. Just as in the first method, the sensitivity, specificity, Dice similarity coefficient and accuracy are determined. A comparison of the obtained results from all the methods is then done. As mentioned above, the novelty of this paper is the integration of these methods in a global fusion-based decision system that uses the results obtained by each individual method to establish the fusion weights. The results obtained by carrying out the experiments on two different free databases shows that the proposed system offers higher accuracy results.

Arthrogryposis in a Case of Chiari Malformation II: First Case Report in a Mediterranean Population.

BACKGROUND Arthrogryposis multiplex congenita is a multifactorial syndromic or non-syndromic group of conditions consisting of multiple congenital contractures of the body, of unknown etiology. It is associated with a heterogenous group of disorders that include but are not limited to processes such as myopathic and neuropathic. Neural tube defect is a neuropathic disorder that incorporates myelomeningocele that might be either isolated or within a spectrum of multiple diseases. CASE REPORT This is a case report of a 28-day-old male born with lower limb arthrogryposis with myelomeningocele and Chiari II malformation in a Mediterranean population. CONCLUSIONS Lower extremity arthrogryposis with myelomeningocele and Chiari II malformation is a prenatal diagnosis that requires high clinical suspicion, early multidisciplinary intervention, and genetic counselling. As long as new approaches are being explored in the management of such cases, babies born now with neural tube defects can expect better quality of life.

Hawkinsinuria With Direct Hyperbilirubinemia in Egyptian-Lebanese Boy.

Tyrosinemia type III is the rarest type of tyrosinemia, because of a mutation in 4-OH-phenylpyruvate dioxygenase (HPD). This causes two different types of diseases with different modes of inheritance: tyrosinemia type III and hawkinsinuria. Hawkinsinuria is an autosomal dominant disease, which presents a failure to thrive and metabolic acidosis; however, the liver is not affected. P.A33T heterozygous mutation was reported by Tomoeda et al. to cause hawkinsinuria. This case report will present the first case of an Egyptian-Lebanese male who developed direct hyperbilirubinemia and was found to have tyrosinemia type III, due to elevated tyrosine levels in the blood and tyrosine derivatives in the urine, but genetic testing revealed a P.A33T heterozygous mutation, a cause of hawkinsinuria.

EBV Infection Unmasking a Choledochal Cyst in an Infant.

Hepatic involvement is common in acute Epstein-Barr virus (EBV) infection in children. It usually manifests as a transitory elevation of transaminases in up to 80% to 90% of patients, and they normalize by 2 to 6 weeks. A cholestatic pattern with elevated gamma-glutamyl transferase (γGT) and alkaline phosphatase (ALP) is common, in up to 60% in young adults. However, jaundice is very rare occurring in only 5% of pediatric patients. We report here an 8-month-old female with EBV infection who developed obstructive jaundice 2 weeks after the initial infection. Radiologic investigations were compatible with choledochal cyst type IVa complicated by stone formation in the common bile duct. In case of clinical exacerbation or nonamelioration of liver function tests in EVB infection, another diagnosis should be addressed. This highlights the importance of close follow-up in these patients in order not to miss a serious underlying condition such as choledochal malformation.