importance 4/10ai assistedMedical Image Segmentation Techniquesneuroimagingstage: research
Problem
White matter hyperintensities in brain MR images need to be classified and detected to support computer-aided diagnosis of ischemic stroke and demyelinating diseases.
Why it matters
Such segmentation is a necessary step in computer-assisted diagnosis of these brain diseases.
What the AI did
The authors reviewed published literature (38 of 140 documents selected via bibliometric networks) on deep learning systems for WMH classification, identification and detection; no new model was developed.
Results
not stated in source (mentions models with good performance metrics, no values given)
Impact
Evidence only supports a synthesis of prior deep learning research; no new demonstrated result.
Record
Venue
Applied Sciences
Published
2021
Work type
article
Authors
Darwin Castillo, Vasudevan Lakshminarayanan, María José Rodríguez-Álvarez
brain MRI, white matter hyperintensities, deep learning, segmentation, literature review
Importance rating
4/ 10
real but narrower advance
WMH segmentation supports CAD for ischemic stroke and demyelinating diseases, a real but narrow diagnostic step; this is a literature review with no new model or stated scale.
Basis: inferred.
Judged from the source text, which gives no explicit scale.
Stated scale: not stated in source. Method and limits.