Cargando…
Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans
Intracranial hemorrhage is a medical emergency that requires urgent diagnosis and immediate treatment to improve patient outcome. Machine learning algorithms can be used to perform medical image classification and assist clinicians in diagnosing radiological scans. In this paper, we apply 3-dimensio...
Autores principales: | Ker, Justin, Singh, Satya P., Bai, Yeqi, Rao, Jai, Lim, Tchoyoson, Wang, Lipo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539746/ https://www.ncbi.nlm.nih.gov/pubmed/31083289 http://dx.doi.org/10.3390/s19092167 |
Ejemplares similares
-
Bioluminescence Tomography Based on One-Dimensional Convolutional Neural Networks
por: Yu, Jingjing, et al.
Publicado: (2021) -
Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks
por: Liang, Hongyin, et al.
Publicado: (2023) -
Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison
Publicado: (2021) -
Semantic Segmentation of Extraocular Muscles on Computed Tomography Images Using Convolutional Neural Networks
por: Shanker, Ramkumar Rajabathar Babu Jai, et al.
Publicado: (2022) -
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans
por: Müller, Lukas, et al.
Publicado: (2023)