Early detection of brain tumors can save precious human life. This work presents a fully
automated design to classify brain tumors. The proposed scheme employs optimal deep …

Image registration is one of the image processing techniques that align more than two
images of a similar scene captured under different perspectives at different intervals of time …

Nowadays, magnetic resonance imaging (MRI) has a high ability to distinguish between soft
tissues because of high spatial resolution. Image processing is extensively used to extract …

Background Diagnosing brain tumours remains a challenging task in clinical practice.
Despite their questionable accuracy, magnetic resonance image (MRI) scans are presently …

Presently, internet of things (IoT) and cloud-based e-health services offer various decision
support systems in the medical field. In this view, this paper introduces a new internet of …

Brain tumors are the most common and vigorous cause of death in the modern era. The
medical community is working hard to develop effective methods to detect brain tumors in an …

Ultrasound imaging is overwhelmingly used as 2D modality even though 3D imaging
capabilities have existed for decades. Recent generational shifts toward super-resolution …

Objective To investigate the clinical, imaging, and pathological features of gliosarcoma.
Methods The clinical data of 14 patients with gliosarcoma confirmed by surgery and …

The agricultural industry is among the most important industry in the world and playing a
critical part in human growth. Soil classification is becoming incredibly valuable, and recent …

Aim: The primary objective of this research is to increase the accuracy of detecting brain
tumors using the Random Forest algorithm and to compare it to the thresholding method …