Cargando…
Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder characterized by high blood sugar. Diabetes complications are leading to Diabetic Retinopathy (DR). The early stages of DR may have either no sign or cause minor vision problems, but later stages of the diseas...
Autores principales: | Ramasamy, Lakshmana Kumar, Padinjappurathu, Shynu Gopalan, Kadry, Seifedine, Damaševičius, Robertas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114804/ https://www.ncbi.nlm.nih.gov/pubmed/34013026 http://dx.doi.org/10.7717/peerj-cs.456 |
Ejemplares similares
-
An Efficient and Privacy-Preserving Scheme for Disease Prediction in Modern Healthcare Systems
por: Padinjappurathu Gopalan, Shynu, et al.
Publicado: (2022) -
An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic—Tent Map
por: Ramasamy, Priya, et al.
Publicado: (2019) -
A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
por: Meraj, Talha, et al.
Publicado: (2021) -
Digital watermarking techniques in curvelet and ridgelet domain
por: Rao, Channapragada Rama Seshagiri, et al.
Publicado: (2016) -
An Efficient DenseNet-Based Deep Learning Model for Malware Detection
por: Hemalatha, Jeyaprakash, et al.
Publicado: (2021)