Study of cervical cancer through fractals and a method of clustering based on quantum mechanics

Tumor growth in the cervix is a complex process. Understanding this phenomena is quite relevant in order to establish proper diagnosis and therapy strategies and a possible startpoint is to evaluate its complexity through the scaling analysis, which define the tumor growth geometry. In this work, tu...

Full description

Autores:
Torres Hoyos, Francisco José
Martín-Landrove, M.
Baena Navarro, Rubén Enrique
Vergara Villadiego, Juan Raul
Cardenas, J. C.
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Cooperativa de Colombia
Repositorio:
Repositorio UCC
Idioma:
OAI Identifier:
oai:repository.ucc.edu.co:20.500.12494/41424
Acceso en línea:
https://doi.org/10.1016/j.fluid.2012.02.009
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062487040&doi=10.1088%2f1742-6596%2f1160%2f1%2f012019&partnerID=40&md5=6e2018f40b33214f2223fe5c736f2276
https://hdl.handle.net/20.500.12494/41424
Palabra clave:
Algorithms
Diagnosis
Diseases
Fractal dimension
Fractals
Image enhancement
Magnetic resonance
Quantum theory
Tumors
05
45
Df
68
35
Ct
Cervix
K-means
Local roughness
K-means clustering
Article
cancer staging
clinical protocol
cluster analysis
contrast enhancement
controlled study
female
fractal analysis
human
image analysis
image processing
image segmentation
in vivo study
major clinical study
nuclear magnetic resonance imaging
oncological parameters
priority journal
quantum mechanics
three dimensional imaging
tumor growth
tumor volume
uterine cervix adenocarcinoma
uterine cervix cancer
adenocarcinoma
algorithm
cluster analysis
computer assisted diagnosis
diagnostic imaging
fractal analysis
pathology
procedures
quantum theory
squamous cell carcinoma
uterine cervix tumor
Adenocarcinoma
Algorithms
Carcinoma
Squamous Cell
Cluster Analysis
Female
Fractals
Humans
Image Interpretation
Computer-Assisted
Imaging
Three-Dimensional
Magn
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb