A combination of optimized threshold and deep learning-based approach to improve malaria detection and segmentation on PlasmoID dataset
HA Nugroho, R Nurfauzi - FACETS, 2023 - facetsjournal.com
Malaria is a life-threatening parasitic disease transmitted to humans by infected female
Anopheles mosquitoes. Early and accurate diagnosis is crucial to reduce the high mortality …
Anopheles mosquitoes. Early and accurate diagnosis is crucial to reduce the high mortality …
Feature representation learning for robust retinal disease detection from optical coherence tomography images
Ophthalmic images may contain identical-looking pathologies that can cause failure in
automated techniques to distinguish different retinal degenerative diseases. Additionally …
automated techniques to distinguish different retinal degenerative diseases. Additionally …
Probabilistic model of age-related macular degeneration staging
EA Lopukhova, RR Ibragimova… - Optical …, 2024 - spiedigitallibrary.org
Intelligent systems significantly reduce routine work for doctors and improve diagnostic
accuracy in medical diagnostics. However, the algorithms' effectiveness may be hindered by …
accuracy in medical diagnostics. However, the algorithms' effectiveness may be hindered by …
[PDF][PDF] Survey on Diagnosing Retina Diseases in Optical Coherence Tomography Images Based on Deep Learning
SH Al-Amiry - Journal of Al-Qadisiyah for Computer Science and …, 2024 - iasj.net
This study provides a comprehensive and extensive review of the use of deep learning
techniques in diagnosing a variety of retinal diseases, such as Drusen, choroidal …
techniques in diagnosing a variety of retinal diseases, such as Drusen, choroidal …
[引用][C] New Ensemble Model for Diagnosing Retinal Diseases from Optical Coherence Tomography Images
S Hameed Al-Amiry… - International Journal of …, 2024 - University of Bahrain