A Hybrid Artificial Intelligence Model for Detecting Keratoconus
Machine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging to detect as signs may be subtle. Several machi...
Saved in:
Main Authors: | Alyasseri Z.A.A., Al-Timemy A.H., Abasi A.K., Lavric A., Mohammed H.J., Takahashi H., Milhomens Filho J.A., Campos M., Hazarbassanov R.M., Yousefi S. |
---|---|
Other Authors: | 57862594800 |
Format: | Article |
Published: |
MDPI
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Axial length in Keratoconus: does it matter?
by: Abdul Razak, Norhafizah, et al.
Published: (2021) -
Keratoconus: A discussion of physical/chemical properties and clinical diagnosis modalities. A review
by: Ahmed S.M., et al.
Published: (2024) -
Clinical and genetic studies of keratoconus: A case control study
by: Jenny, Parameshvara Deva, et al.
Published: (2023) -
Identification of potential serum metabolic biomarkers for patient with keratoconus using untargeted metabolomics approach
by: Teh, Ai Lin Daphne, et al.
Published: (2021) -
Modelling and prediction approach for engine performance and exhaust emission based on artificial intelligence of sterculia foetida biodiesel
by: Sebayang A.H., et al.
Published: (2023)