2017
DOI: 10.1155/2017/8536206
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Medical Imaging Lesion Detection Based on Unified Gravitational Fuzzy Clustering

Abstract: We develop a swift, robust, and practical tool for detecting brain lesions with minimal user intervention to assist clinicians and researchers in the diagnosis process, radiosurgery planning, and assessment of the patient's response to the therapy. We propose a unified gravitational fuzzy clustering-based segmentation algorithm, which integrates the Newtonian concept of gravity into fuzzy clustering. We first perform fuzzy rule-based image enhancement on our database which is comprised of T1/T2 weighted magnet… Show more

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Cited by 6 publications
(3 citation statements)
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“…Keep in mind that if there are several small objects within a zone, the one that falls below T1 will be chosen as the object pixel. [14].…”
Section: Thresholding Techniquementioning
confidence: 99%
“…Keep in mind that if there are several small objects within a zone, the one that falls below T1 will be chosen as the object pixel. [14].…”
Section: Thresholding Techniquementioning
confidence: 99%
“…Although there are many algorithms to identify the clusters of a circuit, the clustering algorithm is the most popular and effective to identify similar nodes at the same time [ 25 ]. Clustering plays an important role in many scientific fields [ 26 ], including earth sciences [ 27 , 28 ], biology [ 29 , 30 , 31 ], economics [ 32 ], community detection [ 33 ], etc. The nodes identified by clustering algorithms are called clusters, which is very important for rapidly realizing the coarse partitioning of a circuit.…”
Section: Introductionmentioning
confidence: 99%
“…As a fundamental data mining task, it can be used either independently or as a preprocessing step before other data mining tasks. Clustering plays an important role in many scientific fields [ 2 ], including earth sciences [ 3 , 4 ], biology [ 5 , 6 , 7 ], and economics [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%