Artificial Intelligence and Imaging in Brain Diseases
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5177
Special Issue Editor
Interests: machine learning; brain; LSTM; artificial intelligence; load forecasting; image segmentation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of artificial intelligence in brain disease diagnosis and treatment planning is developing with increasing speed, and has proved to be an effective tool for the early screening of brain tumors and cerebral hemorrhage, as well as for the PTV delineation of radio therapy and radiosurgery. There have been famous publicly accessible datasets provided for the design, validation and comparison of corresponding algorithms. Some of them act as a benchmark in the field—for example, the dataset from the MICCAI Brain Tumor Segmentation (BraTS) Challenge and the dataset from Ischemic Stroke Lesion Segmentation (ISLES). Additionally, the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset provides researchers a way to apply their methods to functional brain image analysis.
Inspired by these exciting achievements, we are organizing this Special Issue on Artificial Intelligence and Imaging in Brain Diseases. We warmly invite researchers worldwide to submit their original research articles in the field.
Dr. Yan Liu
Guest Editor
Manuscript Submission Information
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