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EN
Segmentation is the key computer vision task in modern medicine applications. Instance segmentation became the prevalent way to improve segmentation performance in recent years. This work proposes a novel way to design an instance segmentation model that combines 3 semantic segmentation models dedicated for foreground, boundary and centroid predictions. It contains no detector so it is orthogonal to a standard instance segmentation design and can be used to improve the performance of a standard design. The presented custom designed model is verified on the Gland Segmentation in Colon Histology Images dataset.
EN
The purpose of the study was to evaluate the influence of electrical stimulation of nerves innervating the pancreas on the function of the cardiovascular system, lungs and urinary tract, measured as an ECG, blood pressure and pressure in the bladder of a dog. Spiral cuffs with 33 electrodes (1.0 x 2.0 mm) within a silicone sheet were manufactured and implanted in a Beagle dog in the vagus nerve, in the splanchnic nerve and in the pancreatic nerve. Each nerve was stimulated individually with biphasic, rectangular and current pulses (10 mA, 200 [my]s, 20 Hz). When stimuli were 10 mA or higher, measurable changes were observed during stimulation of both the vagus and the splanchnic nerves. In the splanchnic nerve, they were expressed as an increase in pressure in the bladder and as a tremor of the whole stomach. In the vagus nerve, they were expressed as a drastic decrease of arterial blood pressure and as abnormalities in the heart rate. In a further increase of stimuli to about 18 mA, the heart rate was slowed until it ceased as fatal brachicardia, asystolia and consequently hypotensia was occured.
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