A porosity model for medical image segmentation of vessels
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3580
Abstract: A physics‐based medical image segmentation method is developed. Specifically, the image greyscale intensity is used to infer the voxel partial volumes and subsequently formulate a porous medium analogy. The method involves first translating the medical… read more here.
Keywords: image segmentation; medical image; segmentation; method ... See more keywords
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
Modified U‐Net for cytological medical image segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22732
Abstract: Deep learning–based medical image segmentation is henceforth widely established as a powerful segmentation process. This article proposes a new U‐Net architecture based on a convolutional neural network for cytology image segmentation. This structure is more… read more here.
Keywords: image segmentation; medical image; segmentation; cytological medical ... See more keywords
On a Cahn‐Hilliard model for image segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.7146
Abstract: Our aim in this paper is to study the existence and uniqueness of solutions to a Cahn‐Hilliard type model proposed for image segmentation. We also prove the existence of unbounded (as time goes to infinity)… read more here.
Keywords: hilliard model; cahn hilliard; image segmentation;
COVID‐19 CT image segmentation based on improved Res2Net
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15882
Abstract: Abstract Purpose Corona virus disease 2019 (COVID‐19) is threatening the health of the global people and bringing great losses to our economy and society. However, computed tomography (CT) image segmentation can make clinicians quickly identify… read more here.
Keywords: covid image; image segmentation; infected regions; covid ... See more keywords
Semi-supervised interactive fusion network for MR image segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16072
Abstract: BACKGROUND Medical image segmentation is an important task in the diagnosis and treatment of cancers. The low contrast and highly flexible anatomical structure make it challenging to accurately segment the organs or lesions. PURPOSE To… read more here.
Keywords: semi supervised; image segmentation; interactive fusion; segmentation ... See more keywords
Semi-supervised medical image segmentation via cross-guidance and feature-level consistency dual regularization schemes.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16217
Abstract: BACKGROUND Semi-supervised learning is becoming an effective solution for medical image segmentation because of the lack of a large amount of labeled data. PURPOSE Consistency-based strategy is widely used in semi-supervised learning. However, it is still… read more here.
Keywords: semi supervised; image segmentation; regularization; medical image ... See more keywords
Automated Microscopy Image Segmentation and Analysis with Machine Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-2051-9_20
Abstract: The development of automated quantitative image analysis pipelines requires thoughtful considerations to extract meaningful information. Commonly, extraction rules for quantitative parameters are defined and agreed beforehand to ensure repeatability between annotators. Machine/Deep Learning (ML/DL) now… read more here.
Keywords: analysis; machine; image; microscopy ... See more keywords
Patch-based fuzzy clustering for image segmentation
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-017-2955-2
Abstract: Fuzzy C-means has been adopted for image segmentation, but it is sensitive to noise and other image artifacts due to not considering neighbor information. In order to solve this problem, many improved algorithms have been… read more here.
Keywords: image segmentation; fuzzy clustering; patch; image ... See more keywords
A sonar image segmentation algorithm based on quantum-inspired particle swarm optimization and fuzzy clustering
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3890-6
Abstract: The underwater sonar image has the characteristics of complex background and heavy noise pollution. By using multi-bit quantum system to encode particles, a new sonar image segmentation algorithm based on quantum-inspired particle swarm and fuzzy… read more here.
Keywords: image; sonar image; image segmentation; particle swarm ... See more keywords
A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-04820-y
Abstract: Image segmentation is considered a crucial step required for image analysis and research. Many techniques have been proposed to resolve the existing problems and improve the quality of research, such as region-based, threshold-based, edge-based, and… read more here.
Keywords: optimization algorithm; image; algorithm; image segmentation ... See more keywords