Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome.
Hyperspectral imaging (HSI) has gained increasing use in pathological diagnosis in recent years. Our HSI-based artificial intelligence system achieved high accuracy (up to 97%) in bone marrow pathology, outperforming previous RGB-based studies and demonstrating the feasibility of HSI for MDS diagnosis.
Hyperspectral imaging (HSI) has gained increasing use in pathological diagnosis in recent years. Our HSI-based artificial intelligence system achieved high accuracy (up to 97%) in bone marrow pathology, outperforming previous RGB-based studies and demonstrating the feasibility of HSI for MDS diagnosis.
What the study was
- Study design
- Not specified
- Sample size
- 36
- Category
- Treatment Innovation
- Maturity
- Exploratory
- Journal
- Journal of biophotonics
Why it surfaced
Low-signal Hematologic malignancies entry (Not specified design); retained for topic coverage completeness.
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