|
|
|
|
|
Farheen Chincholi and Harald Koestler
Hemorrhages in the retinal fundus are a common symptom of both diabetic retinopathy and diabetic macular edema, making their detection crucial for early diagnosis and treatment. For this task, the aim is to evaluate the performance of two pre-trained and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pradeep Kumar Jena, Bonomali Khuntia, Charulata Palai, Manjushree Nayak, Tapas Kumar Mishra and Sachi Nandan Mohanty
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the domain of computer vision. It is challenging due to structural complexity and a marginal contrast difference between the retinal vessels and the background of t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xuefeng Zhang, Youngsung Kim, Young-Chul Chung, Sangcheol Yoon, Sang-Yong Rhee and Yong Soo Kim
Large-scale datasets, which have sufficient and identical quantities of data in each class, are the main factor in the success of deep-learning-based classification models for vision tasks. A shortage of sufficient data and interclass imbalanced data dis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shyamala Subramanian, Sashikala Mishra, Shruti Patil, Kailash Shaw and Ebrahim Aghajari
Diabetic retinopathy (DR) is a medical condition caused by diabetes. The development of retinopathy significantly depends on how long a person has had diabetes. Initially, there may be no symptoms or just a slight vision problem due to impairment of the ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dian Candra Rini Novitasari, Fatmawati Fatmawati, Rimuljo Hendradi, Hetty Rohayani, Rinda Nariswari, Arnita Arnita, Moch Irfan Hadi, Rizal Amegia Saputra and Ardhin Primadewi
Diabetic retinopathy is the leading cause of blindness suffered by working-age adults. The increase in the population diagnosed with DR can be prevented by screening and early treatment of eye damage. This screening process can be conducted by utilizing ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sayed Haggag, Ahmed Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam and Ayman El-Baz
This paper presents a novel deep learning system for the detection and diagnosis of diabetic retinopathy using optical coherence tomography images.
|
|
|
|
|
|
|
|
|
|
|
Rawan Ghnemat
Diabetic retinopathy (DR) is an increasingly common eye disorder that gradually damages the retina. Identification at the early stage can significantly reduce the severity of vision loss. Deep learning techniques provide detection for retinal images base...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pooja Bidwai, Shilpa Gite, Kishore Pahuja and Ketan Kotecha
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels and has become the most common cause of vision loss worldwide. It has become a severe problem among the working-age group that needs to be solved early to avoid visi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Halil Murat Ünver, Yunus Kökver, Elvan Duman and Osman Ayhan Erdem
Accurate and efficient localization of the optic disk (OD) in retinal images is an essential process for the diagnosis of retinal diseases, such as diabetic retinopathy, papilledema, and glaucoma, in automatic retinal analysis systems. This paper present...
ver más
|
|
|
|
|
|
|
|
|
|
|
Syna Sreng, Noppadol Maneerat, Kazuhiko Hamamoto and Ronakorn Panjaphongse
Diabetic Retinopathy (DR) is the leading cause of blindness in working-age adults globally. Primary screening of DR is essential, and it is recommended that diabetes patients undergo this procedure at least once per year to prevent vision loss. However, ...
ver más
|
|
|
|
|
|