Cargando…
A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography Images
Intracranial hemorrhage (ICH) occurs when blood leaks inside the skull as a result of trauma to the skull or due to medical conditions. ICH usually requires immediate medical and surgical attention because the disease has a high mortality rate, long-term disability potential, and other potentially l...
Autores principales: | Khan, Muntakim Mahmud, Chowdhury, Muhammad E. H., Arefin, A. S. M. Shamsul, Podder, Kanchon Kanti, Hossain, Md. Sakib Abrar, Alqahtani, Abdulrahman, Murugappan, M., Khandakar, Amith, Mushtak, Adam, Nahiduzzaman, Md. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417300/ https://www.ncbi.nlm.nih.gov/pubmed/37568900 http://dx.doi.org/10.3390/diagnostics13152537 |
Ejemplares similares
-
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
por: Nisha, Naima Nasrin, et al.
Publicado: (2023) -
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
por: Podder, Kanchon Kanti, et al.
Publicado: (2022) -
Deep Learning Framework for Liver Segmentation from T(1)-Weighted MRI Images
por: Hossain, Md. Sakib Abrar, et al.
Publicado: (2023) -
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection
por: Abir, Farhan Fuad, et al.
Publicado: (2023) -
Explainable deep learning model for automatic mulberry leaf disease classification
por: Nahiduzzaman, Md., et al.
Publicado: (2023)