Brightness preserving optimized weighted bi‐histogram equalization algorithm and its application to MR brain image segmentation
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22330
Abstract: Medical image segmentation is crucial for neuroscience research and computer‐aided diagnosis. However, intensity inhomogeneity and existence of noise in magnetic resonance images lead to incorrect segmentation. In this article, an effective method called enhanced fuzzy… read more here.
Keywords: image; brightness preserving; segmentation; image segmentation ... See more keywords
A machine learning classification approach based glioma brain tumor detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22590
Abstract: This article develops a computer aided fully automated method for detecting and classifying the glioma brain magnetic resonance imaging (MRI) using machine learning classification approach. The noise contents in source brain MRI image are detected… read more here.
Keywords: image; glioma brain; classification; brain image ... See more keywords
Brain Image Segmentation Based on Multi-Weight Probability Map
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2893275
Abstract: Due to the complexity of the brain image itself, the brain image segmentation technology has become a bottle for further application and development of the system. Considering the inconsistency of intensity, partial volume effect, and… read more here.
Keywords: image segmentation; brain image; probability; multi weight ... See more keywords
A New Hybrid Brain MR Image Segmentation Algorithm With Super-Resolution, Spatial Constraint-Based Clustering and Fine Tuning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3011224
Abstract: Tissue segmentation from a single brain MR image is of paramount importance for brain reconstruction and analysis. In this paper, we propose a new hybrid algorithm for brain MR image segmentation, combining super-resolution, spatial constraint… read more here.
Keywords: super resolution; brain image; image; segmentation ... See more keywords
MMI-Fuse: Multimodal Brain Image Fusion With Multiattention Module
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163260
Abstract: Medical imaging plays a pivotal role in the clinical diagnosis of brain disease. There are many imaging methods to detect the state of tissues in the brain. While these imaging methods have advantages, they also… read more here.
Keywords: fusion; brain image; multimodal brain; image fusion ... See more keywords
Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3216270
Abstract: Nowadays, brain MR (Magnetic Resonance) images are widely used by clinicians to examine the brain's anatomy to look into various pathological conditions like cerebrovascular incidents and neuro-degenerative diseases. Generally, these diseases can be identified with… read more here.
Keywords: brain image; brain; transfer learning; deep transfer ... See more keywords
A Fast Subpixel Registration Algorithm Based on Single-Step DFT Combined with Phase Correlation Constraint in Multimodality Brain Image
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2020/9343461
Abstract: Multimodality brain image registration technology is the key technology to determine the accuracy and speed of brain diagnosis and treatment. In order to achieve high-precision image registration, a fast subpixel registration algorithm based on single-step… read more here.
Keywords: multimodality brain; correlation; registration; brain image ... See more keywords
Multimodal Brain Image Fusion Based on Improved Rolling Guidance Filter and Wiener Filter
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/5691099
Abstract: Medical image fusion technology can integrate complementary information from different modality medical images to provide a more complete and accurate description of the specific diagnosed object, which is very helpful for image-guided clinical diagnosis and… read more here.
Keywords: brain image; based improved; filter; image fusion ... See more keywords
Brain MR image segmentation based on an improved active contour model
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DOI: 10.1371/journal.pone.0183943
Abstract: It is often a difficult task to accurately segment brain magnetic resonance (MR) images with intensity in-homogeneity and noise. This paper introduces a novel level set method for simultaneous brain MR image segmentation and intensity… read more here.
Keywords: image; image segmentation; model; brain image ... See more keywords
DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12112888
Abstract: The proper segmentation of the brain tumor from the image is important for both patients and medical personnel due to the sensitivity of the human brain. Operation intervention would require doctors to be extremely cautious… read more here.
Keywords: classification; brain image; brain; segmentation ... See more keywords