Brain scans spot early signs of autism in high-risk babies
Sign Up to like & getrecommendations! Published in 2017 at "Nature"
DOI: 10.1038/nature.2017.21484
Abstract: Experts say replication is needed and other hurdles must be surmounted to apply findings to the clinic. read more here.
Keywords: brain scans; spot early; early signs; scans spot ... See more keywords
Combining Deep and Handcrafted Image Features for MRI Brain Scan Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922691
Abstract: Progresses in the areas of artificial intelligence, machine learning, and medical imaging technologies have allowed the development of the medical image processing field with some astonishing results in the last two decades. These innovations enabled… read more here.
Keywords: features mri; mri brain; image; brain scans ... See more keywords
Generative adversarial network–based reconstruction of healthy anatomy for anomaly detection in brain CT scans
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Medical Imaging"
DOI: 10.1117/1.jmi.11.4.044508
Abstract: Abstract. Purpose To help radiologists examine the growing number of computed tomography (CT) scans, automatic anomaly detection is an ongoing focus of medical imaging research. Radiologists must analyze a CT scan by searching for any… read more here.
Keywords: brain scans; brain; anomaly detection; anatomy ... See more keywords
Multi-Modal Segmentation of 3D Brain Scans Using Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2021.653375
Abstract: Anatomical segmentation of brain scans is highly relevant for diagnostics and neuroradiology research. Conventionally, segmentation is performed on T1-weighted MRI scans, due to the strong soft-tissue contrast. In this work, we report on a comparative… read more here.
Keywords: brain scans; neural networks; segmentation; segmentation brain ... See more keywords