Unsupervised abnormality detection in neonatal MRI brain scans using deep learning

Analysis of 3D medical imaging data has been a large topic of focus in the area of Machine Learning/Artificial Intelligence, though little work has been done in algorithmic (particularly unsupervised) analysis of neonatal brain MRI’s. A myriad of conditions can manifest at an early age, including ne...

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Detalles Bibliográficos
Autores principales: Raad, Jad Dino, Chinnam, Ratna Babu, Arslanturk, Suzan, Tan, Sidhartha, Jeong, Jeong-Won, Mody, Swati
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352269/
https://www.ncbi.nlm.nih.gov/pubmed/37460615
http://dx.doi.org/10.1038/s41598-023-38430-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352269/
https://www.ncbi.nlm.nih.gov/pubmed/37460615
http://dx.doi.org/10.1038/s41598-023-38430-0

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