Published in Journal of Physics: Conference Series
Smart Farming System is an emerging concept which utilizes sensors in the field enabled through IoT to get live data from the farm. This paper aims at developing such a Smart Farming system using the highly advanced technology of Texas instruments microcontrollers, MSP430 and TIVA C Series TM4C1294. Along with IoT the system uses Multispectral Imag...
BackgroundCOVID-19 and Fontan physiology have each been associated with an elevated risk of venous thromboembolism (VTE), however little is known about the risks and potential consequences of having both.Case presentationA 51 year old male with tricuspid atresia status post Fontan and extracardiac Glenn shunt, atrial flutter, and sinus sick syndrom...
Scientists often individually count and sort items from images manually in a time-consuming and subjective process. Therefore, an automatic algorithm that can provide the same or better results in fractions of the time is desirable and has been done. However, detecting consistently uniform shapes is simple, but most algorithms that we are aware hav...
Published in E3S Web of Conferences
Indonesia’s climate has suitable for tobacco growth. tobacco plants can live in drylands. Tobacco is planted optimum with a size of 100cm x 70cm. The right size is used to count the amount of tobacco that will be planted according to the area of the land. Technology developed to help the farmer to monitor their crops and yields, by using image proc...
Published in Transport and Telecommunication Journal
The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is divided into two major parts. In part one of the work, we develop a powerful and robust lane detection algorithm which can determine the safely drive-able region in front of the car. In part two w...
Published in Current Directions in Biomedical Engineering
Ultrasound (US) imaging is used as a preliminary diagnostic tool for the detection, risk-stratification and classification of thyroid nodules. In order to perform the risk stratification of nodules in US images physicians first need to effectively detect the nodules. This process is affected due to the presence of inter-observer and intra-observer ...
PurposeTwo-photon excitation fluorescence (2PEF) reveals information about tissue function. Concerns for phototoxicity demand lower light exposure during imaging. Reducing excitation light reduces the quality of the image by limiting fluorescence emission. We applied deep learning (DL) super-resolution techniques to images acquired from low light e...
Published in Current Directions in Biomedical Engineering
The analysis of the arterial wall properties is vital in the prediction of stroke events and arterial hypertension in humans. Numerous researchers have experimented with several approaches to model arterial vessels and to analyse their biomechanical behaviour for many years now. Our study is focussed on image processing of peripheral arterial cross...
Published in Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Previous studies on the utility of specific perfusion patterns in ictal brain perfusion SPECT for predicting the outcome of temporal lobe epilepsy surgery used qualitative visual pattern classification, semi-quantitative region-of-interest analysis or conventional univariate voxel-based testing, which are limited by intra- and inter-rater variabili...
The impact of PET image acquisition and reconstruction parameters on SUV measurements or radiomic feature values is widely documented. This "scanner" effect is detrimental to the design and validation of predictive or prognostic models and limits the use of large multicenter cohorts. To reduce the impact of this scanner effect, the ComBat method ha...
