Cargando…
Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning
Objective In the present study, we have used machine learning algorithm to accomplish the task of automated detection of poor-quality scintigraphic images. We have validated the accuracy of our machine learning algorithm on (99m) Tc-methyl diphosphonate ( (99m) Tc-MDP) bone scan images. Materials a...
Autores principales: | Pandey, Anil K., Sharma, Akshima, Sharma, Param D., Bal, Chandra S., Kumar, Rakesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Thieme Medical and Scientific Publishers Pvt. Ltd.
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665981/ https://www.ncbi.nlm.nih.gov/pubmed/36398299 http://dx.doi.org/10.1055/s-0042-1750436 |
Ejemplares similares
-
Comparison of noise estimation methods used in denoising (99m)Tc-sestamibi parathyroid images using wavelet transform
por: Pandey, Anil Kumar, et al.
Publicado: (2020) -
Contrast Enhancement of Scintigraphic Image Using Fuzzy Intensification
por: Pandey, Anil Kumar, et al.
Publicado: (2022) -
Improving technetium-99m methylene diphosphonate bone scan images using histogram specification technique
por: Pandey, Anil Kumar, et al.
Publicado: (2020) -
Optimum Value of Scale and Threshold for Compression of 99mTc-MDP Bone Scan Images using Haar Wavelet Transform
por: Pandey, Anil Kumar, et al.
Publicado: (2022) -
Methylene Diphosphonate Bone Scan Scintigraphic Image Enhancement using Gamma Correction and Optimizing the Value of Gamma
por: Sharma, Anshul, et al.
Publicado: (2020)