Automated Analysis Of Diabetic Vasculopathy Using Semantic Segmentation Of Thermal Images Of Peroneal Vessel

Introduction: Diabetic vascular disease is one of most serious health problems in diabetic patients, it causes the development of severe complications including delayed wound healing and increased susceptibility to infections. Methods: To provide accurate and are non-invasive diagnosis, current work emphasizes on Diabetic Vasculopathy (DV) that is analysed with thermoregulation images through Semantic Segmentation (SS). A novel methodology was adapted, combining thermoregulation imaging with SS using the U-Net++ model to investigate temperature distributions at the skin level. This work introduces a novel method that utilizes MobileNetV2 as the encoder for fast Feature Extraction (FE). Results: The results from the suggested model, achieves a segmentation accuracy of 95%, which is significantly more compared to that of DeepLabV3+ and PSPNet models. A mean and Intersection over Union (IoU) of 85% and 87% was reported by the suggested frameworks throughout the training and validation phases. Conclusion: Classifying normal and abnormal regions can be done via the outcomes, as it offers the great visibility in the thermal image for clinicians by detecting the non-thermal region

A FEASIBILITY STUDY OF LUNG CANCER DIAGNOSIS BY HIGH INTENSITY PIXELS IN LUNG CT IMAGES

 According to world health organization the most common cancer is the lung cancer considering 1.7 million deaths and two million new cases in 2018.It is the biggest cancer killer in both women and men worldwide. If lung cancer is detected and treated before it metastasizes the chance for a cure would be excellent. The imaging techniques used for detection are chest radiography, computed tomography(CT),MRI and PET. The CAD system is the one which helps the physician for detection of the disease and also gives a second opinion to make the final decision. Here in this study, a method is proposed for computer aided diagnosis (CAD) of lung cancer to study the feasibility of using the number of pixels with high intensity present in the lung CT images . For experimentation total 14 images of cancerous and healthy lungs were taken and the results obtained showed an accuracy of 78%

Genomic Damage in Endstage Renal Disease—Contribution of Uremic Toxins

Patients with end-stage renal disease (ESRD), whether on conservative, peritoneal or hemodialysis therapy, have elevated genomic damage in peripheral blood lymphocytes and an increased cancer incidence, especially of the kidney. The damage is possibly due to accumulation of uremic toxins like advanced glycation endproducts or homocysteine. However, other endogenous substances with genotoxic properties, which are increased in ESRD, could be involved, such as the blood pressure regulating hormones angiotensin II and aldosterone or the inflammatory cytokine TNF-α. This review provides an overview of genomic damage observed in ESRD patients, focuses on possible underlying causes and shows modulations of the damage by modern dialysis strategies and vitamin supplementation

An Efficient Access Control Method for Resource Constrained Embedded Systems

The way to communicate and distribute the information in Wireless Sensor Networks (WSN) is constantly under evolution; at beginning the networks sent the information using proprietary protocols; but today, using IP protocol has become widely used to improve the interoperability and to standardize. These nodes often are constrained re- source devices and are not able to use the same mechanisms that a normal computer uses, because the processing performance and memory capacity are smaller than a nor- mal computer.With standardized protocols, like CoAP, an embedded device is able to create and offer resources to others. In some applications the data is confidential and must be pro- tected against intruders, for this reason the use of encryption techniques is mandatory; but even with encryption there is no mechanism to control the access to each resource and with method is used to access. Also standard computing solutions are not directly applicable, because the power consumption and processing performance. Therefore all resources are accessible to anyone with permissions to connect to the embedded device.In this thesis a new method of access control for resource-constrained devices is pro- posed as a extension of CoAP protocol. Which keep the original concepts of low-power and small processing overhead.This method can be a small step forward on the WSNs evolution. The results obtained are only about the method, the integration of this method into a complete access control framework is part of future work.Godkänd; 2014; 20140915 (pabpun); Nedanstående person kommer att hålla licentiatseminarium för avläggande av teknologie licentiatexamen. Namn: Pablo Puñal Pereira Ämne: Industriell elektronik/Industrial Electronics Uppsats: An Efficient Access Control Method for Resource Constrained Embedded Systems Examinator: Biträdande professor Jens Eliasson, Institutionen för system- och rymdteknik, Luleå tekniska universitet Diskutant: Biträdande professor Panos Papadimitratos, School of Electrical Engineering, KTH, Stockholm Tid: Måndag den 20 oktober 2014 kl 10.00 Plats: A109, Luleå tekniska universite