Monitoring the morphology of blood leukocytes, plays an important role in medical research, especially in the treatment of diseases such as immunodeficiency.Traditional manual detection methods are susceptible to numerous interference factors.Therefore, blood cells are often segmented using deep-learning algorithms.This study proposes a U-Net model

Depth estimation is a classic computer vision task and provides rich representation of objects and environment.In recent years, the performance of end-to-end depth estimation has been significantly improved.However, the stack of convolutions and pooling operations result in losing local detail spatial information, which is extremely important Bottl

Mechanical thrombectomy is a ground breaking treatment for acute ischaemic stroke caused by occlusion of Bluetooth Transmitters a large vessel.Its efficacy over intravenous thrombolysis has been proven in multiple trials with a lower number needed to treat than percutaneous coronary intervention for acute myocardial infarction.However, access to th

Background: Glioblastoma (GBM) is the deadliest and most common brain tumor in adults, with poor survival and response to aggressive therapy.Limited access of drugs to tumor cells is one reason for such grim clinical outcomes.A driving force for therapeutic delivery is interstitial fluid flow (IFF), both within the tumor and in the surrounding brai

In this paper, we use the blockchain technology to design a Glucose Products prototype to secure process data from a 3D-printer.Datastreams are gathered from various sources such as OPC UA servers and autonomous retrofit sensor nodes.This is followed by pre-processing for data reduction, storage in a data model, and the generation of a unique hash