Various convolutional neural network (CNN) based concepts have been introduced for the prostate's automatic segmentation and its coarse subdivision into transition zone (TZ) peripheral (PZ). However, when targeting a fine-grained of TZ, PZ, distal prostatic urethra (DPU) anterior fibromuscular stroma (AFS), task becomes more challenging has not yet solved at level human performance. One reason ...

Thermal imaging has many applications that all leverage from the heat map can be constructed using this type of imaging. It used in Internet Things (IoT) to detect features surroundings. In such a case, Deep Neural Networks (DNNs) carry out visual analysis tasks which provide system with capacity make decisions. However, due their huge computational cost, networks are recommended exploit custom...

Objective — to investigate the functional state of endothelium and methods correction endothelial dysfunction in patients with gastric duodenal peptic ulcers (GPU DPU) combination hypertension (AH) type 2 diabetes mellitus (DM2).
 Materials methods. The investigation involved 100 patients, who were divided into groups: group 1 consisted 20 apparently healthy individuals (AHI), included 40 ...

In 1926 the work of Japanese Imperial Consulate in Odesa was resumed. The second, Soviet, stage history institution lasted until 1937. first consul this time Sasaki Seigo (1926), then temporarily headed by Kamimura Shinitsi (1926–1927). Shimada Shigeru became third head institution, working as a from 1927 to 1930. He qualified diplomat, participated Soviet-Japanese negotiations, Alexandrovsk (S...

A progressive loss of dopamine neurons in the substantia nigra (SN) is considered the main feature of idiopathic Parkinson's disease (PD). Recent neuropathological evidence however suggests that the axons of the nigrostriatal dopaminergic system are the earliest target of α-synuclein accumulation in PD, thus the principal site for vulnerability. Whether this applies to in vivo PD, and also to t...

Application-specific optical processors have been considered disruptive technologies for modern computing that can fundamentally accelerate the development of artificial intelligence (AI) by offering substantially improved performance. Recent advancements in neural network architectures information processing applied to perform various machine learning tasks. However, existing limited complexit...