Cargando…
Machine Learning-Based Gray-Level Co-Occurrence Matrix (GLCM) Models for Predicting the Depth of Myometrial Invasion in Patients with Stage I Endometrial Cancer
PURPOSE: Deep myometrial invasion (DMI) is an independent high-risk factor for lymph node metastasis and a prognostic risk factor in early-stage endometrial cancer (EC-I) patients. Thus, we developed a machine learning (ML) assistant model, which can accurately help define the surgical area. METHODS...
Autores principales: | Qin, Li, Lai, Lin, Wang, Hongli, Zhang, Yukun, Qian, Xiaoyuan, He, Du |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252192/ https://www.ncbi.nlm.nih.gov/pubmed/35795827 http://dx.doi.org/10.2147/CMAR.S370477 |
Ejemplares similares
-
Data extraction of the gray level Co-occurrence matrix (GLCM) Feature on the fingerprints of parents and children in Lombok Island, Indonesia
por: Bakti, Lalu Darmawan, et al.
Publicado: (2021) -
Quantitative Evaluation of the Effectiveness of Chemical Peelings in Reducing Acne Lesions Based on Gray-Level Co-Occurrence Matrix (GLCM)
por: Odrzywołek, Wiktoria, et al.
Publicado: (2022) -
Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms
por: Iqbal, Naveed, et al.
Publicado: (2021) -
Oestrogen receptor β expression and depth of myometrial invasion in human endometrial cancer
por: Takama, F, et al.
Publicado: (2001) -
Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method
por: Wawrzyk-Bochenek, Iga, et al.
Publicado: (2023)