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 …

Feature representation learning for robust retinal disease detection from optical coherence tomography images

SA Kamran, KF Hossain, A Tavakkoli… - … on Ophthalmic Medical …, 2022 - Springer
Ophthalmic images may contain identical-looking pathologies that can cause failure in
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 …

[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 …

[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