Published in ITM Web of Conferences
The human brain consists of billions of living organisms and is very difficult to decipher because of its complexity. Brain tumors can be deadly, significantly impacting the quality of life and changing everything for patients and their loved ones. In today’s world, brain tumors are a leading cause of death in both children and adults. A high death...
Published in ITM Web of Conferences
Drone technology is evolving for the applications like surveillance, observation, rescue and control crimes, military, agriculture, civil and many more purposes. But these surveillance systems are monitored by human interaction so there may be some negligence and malfunction may happen due to lack of observation. The objective of the work was devel...
Published in Academic radiology
Magnetic resonance imaging (MRI) of the hand and wrist is a routine MRI examination and takes about 15-20 minutes, which can lead to problems resulting from the relatively long scan time, such as decreased image quality due to motion artifacts and lower patient throughput. The objective of this study was to evaluate a deep learning (DL) reconstruct...
Published in Academic radiology
Coronary inflammation related to high-risk hemorrhagic plaques can be captured by the perivascular fat attenuation index (FAI) using coronary computed tomography angiography (CCTA). Since the FAI is susceptible to image noise, we believe deep learning (DL)-based post hoc noise reduction can improve diagnostic capability. We aimed to assess the diag...
Several remote sensing applications that collect specific data in the space environment use images capable of providing a large volume of information, known as hyperspectral images. Given the amount of data, one of the most critical issues in applications that use hyperspectral images is the demanded for compression, which also affects restrictions...
Published in Journal of Physics: Conference Series
Background The most common cancer affecting women globally is breast cancer. The most effective and extensively used tool for identifying breast abnormalities in the early stage is mammography screening. However, it is less effective when there is high breast density. Therefore, the radiologist considers a sonomammography in addition to mammography...
Geometric distortion is a major limiting factor for spatial specificity in high-resolution fMRI using EPI readouts and is exacerbated at higher field strengths due to increased B field inhomogeneity. Prominent correction schemes are based on B field-mapping or acquiring reverse phase-encoded (reversed-PE) data. However, to date, comparisons of thes...
Bowel obstruction is a common cause of acute abdominal pain. The development of algorithms for automated detection and characterization of bowel obstruction on CT has been limited by the effort required for manual annotation. Visual image annotation with an eye tracking device may mitigate that limitation. The purpose of this study is to assess the...
Today, processing pictures of the Earth’s surface is frequently usedfor a variety of purposes. Given the increased need for this data, severalsensors are presently being deployed for the accurate recording of remotesensing images. These sensors may be divided into two main categories:optical sensors and radar-based sensors. Radar-based sensors are ...
Published in Journal of Physics: Conference Series
Mango reaches its maturity in different stages which comprise both size and color. These maturity stages are well-known by the farmer in the field. On the basis of these different stages of maturity or commonly say ‘ripening of Mango’ one can predict when these are perfect for harvesting. The stages comprise a distinct pattern in which Mango gets r...
