Improved edge detection algorithm for brain tumor segmentation

A Aslam, E Khan, MMS Beg - Procedia Computer Science, 2015 - Elsevier
Image segmentation is used to separate objects from the background, and thus it has proved
to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection …

Brain tumor detection and segmentation by intensity adjustment

PG Rajan, C Sundar - Journal of medical systems, 2019 - Springer
In recent years, Brain tumor detection and segmentation has created an interest on research
areas. The process of identifying and segmenting brain tumor is a very tedious and time …

Hybrid segmentation method with confidence region detection for tumor identification

K Ejaz, MSM Rahim, UI Bajwa, H Chaudhry… - IEEE …, 2020 - ieeexplore.ieee.org
Segmentation methods can mutually exclude the location of the tumor. However, the
challenge of complex location or incomplete identification is located in segmentation …

Review on hybrid segmentation methods for identification of brain tumor in MRI

K Ejaz, MS Mohd Rahim, M Arif, D Izdrui… - Contrast Media & …, 2022 - Wiley Online Library
Modalities like MRI give information about organs and highlight diseases. Organ information
is visualized in intensities. The segmentation method plays an important role in the …

Utilization of image interpolation and fusion in brain tumor segmentation

NA El‐Hag, A Sedik, GM El‐Banby… - International Journal …, 2021 - Wiley Online Library
Brain tumor is a mass of anomalous cells in the brain. Medical imagining techniques have a
vital role in the diagnosis of brain tumors. Magnetic Resonance Imaging (MRI) and …

Auto-pore segmentation of digital microscopic leather images for species identification

A Varghese, S Jain, M Jawahar, AA Prince - Engineering Applications of …, 2023 - Elsevier
In leather images, precise pore segmentation is a necessary medium for accurate species
prediction. However, due to foreground color, texture, size, and boundary variability …

Brain tumor detection using self-adaptive K-means clustering

N Kaur, M Sharma - … data analytics and soft computing (ICECDS …, 2017 - ieeexplore.ieee.org
Brain tumor detection is an important diagnostic process in medical field. Magnetic
resonance imaging (MRI) is the prime imaging technique while analysing the brain/skull with …

[HTML][HTML] Real-time precise object segmentation using a pixel-wise coarse-fine method with deep learning for automated manufacturing

J Cho, S Kang, K Kim - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract The Fourth Industrial Revolution has rapidly increased the demand, beyond the
pace of industrial automation, for artificial intelligence (AI) and robots to undertake …

RETRACTED ARTICLE: Computer aided diagnosis of brain tumor using novel classification techniques

J Paul, TS Sivarani - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
Brain cancer treatment mainly depends on the accurate detection of the tumor type, location,
size and borders. Magnetic resonance images (MRI) can be used to analyze the properties …

[PDF][PDF] Survey of brain tumor segmentation techniques on magnetic resonance imaging

M Hameurlaine, A Moussaoui - Nano Biomedicine and Engineering, 2019 - academia.edu
Brain tumor extraction is challenging task because brain image and its structure are
complicated that can be analyzed only by expert physicians or radiologist. Brain tumor …