Improved edge detection algorithm for brain tumor segmentation
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 …
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 …
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
Segmentation methods can mutually exclude the location of the tumor. However, the
challenge of complex location or incomplete identification is located in segmentation …
challenge of complex location or incomplete identification is located in segmentation …
Review on hybrid segmentation methods for identification of brain tumor in MRI
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 …
is visualized in intensities. The segmentation method plays an important role in the …
Utilization of image interpolation and fusion in brain tumor segmentation
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 …
vital role in the diagnosis of brain tumors. Magnetic Resonance Imaging (MRI) and …
Auto-pore segmentation of digital microscopic leather images for species identification
In leather images, precise pore segmentation is a necessary medium for accurate species
prediction. However, due to foreground color, texture, size, and boundary variability …
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 …
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 …
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 …
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 …
complicated that can be analyzed only by expert physicians or radiologist. Brain tumor …