Cargando…
Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer
Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is excellent if detected at an early stage, making early screening crucial for detection and treatment. In recent years, a new...
Autores principales: | Wong, Alexander, Gunraj, Hayden, Sivan, Vignesh, Haider, Masoom A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888633/ https://www.ncbi.nlm.nih.gov/pubmed/35232991 http://dx.doi.org/10.1038/s41598-022-06872-7 |
Ejemplares similares
-
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing
por: Dulhanty, Chris, et al.
Publicado: (2020) -
Correlated diffusion imaging
por: Wong, Alexander, et al.
Publicado: (2013) -
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images
por: Gunraj, Hayden, et al.
Publicado: (2020) -
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
por: Khalvati, Farzad, et al.
Publicado: (2015) -
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning
por: Gunraj, Hayden, et al.
Publicado: (2022)