Cargando…
A Computer-Aided Diagnostic System to Identify Diabetic Retinopathy, Utilizing a Modified Compact Convolutional Transformer and Low-Resolution Images to Reduce Computation Time
Diabetic retinopathy (DR) is the foremost cause of blindness in people with diabetes worldwide, and early diagnosis is essential for effective treatment. Unfortunately, the present DR screening method requires the skill of ophthalmologists and is time-consuming. In this study, we present an automate...
Autores principales: | Khan, Inam Ullah, Raiaan, Mohaimenul Azam Khan, Fatema, Kaniz, Azam, Sami, Rashid, Rafi ur, Mukta, Saddam Hossain, Jonkman, Mirjam, De Boer, Friso |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295551/ https://www.ncbi.nlm.nih.gov/pubmed/37371661 http://dx.doi.org/10.3390/biomedicines11061566 |
Ejemplares similares
-
Development of an automated optimal distance feature-based decision system for diagnosing knee osteoarthritis using segmented X-ray images
por: Fatema, Kaniz, et al.
Publicado: (2023) -
Deep learning-based analysis of COVID-19 X-ray images: Incorporating clinical significance and assessing misinterpretation
por: Islam Bhuiyan, Md. Rahad, et al.
Publicado: (2023) -
Frequency and Time Domain Analysis of EEG Based Auditory Evoked Potentials to Detect Binaural Hearing in Noise
por: Ignatious, Eva, et al.
Publicado: (2023) -
Binaural masking level difference for pure tone signals
por: Ignatious, Eva, et al.
Publicado: (2023) -
A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images
por: Fatema, Kaniz, et al.
Publicado: (2022)