Early detection of retinal diseases is one of the most important means of preventing partial or
permanent blindness in patients. In this research, a novel multi-label classification system is …

Millions of people around the world suffer from various ocular diseases often leading to
blindness due to delayed detection and treatment. This has led to a demand for quick …

Deep learning (DL) algorithms are used to diagnose diabetic retinopathy (DR). However,
most of these algorithms have been trained using global data or data from patients of a …

Retinal diseases are among the leading causes of blindness and severe vision loss at the
global level. Early diagnosis of retinal disease is of great importance in order to prevent …

在对大规模多标签数据进行人工标注时极易产生标签的缺失. 现有算法大多利用被所有实例共享
的全局标签相关性来解决该问题, 即对不同实例而言, 标签之间的相关性是相同的 …

Untimely detection of ocular diseases is the chief cause of visual impairment among people.
Several medical examinations are carried out for diagnosing ophthalmic diseases. Due to …

Performing different medical examinations primarily of which are visual examinations can
prove to be beneficial for identification of retinal diseases. An upcoming interdisciplinary …

Background Human vision has inspired significant advancements in computer vision, yet the
human eye is prone to various silent eye diseases. With the advent of deep learning …

Retinal disorders are a major cause of irreversible vision loss, which can be mitigated
through accurate and early diagnosis. Conventionally, fundus images are used as the gold …

At present, multi-disease fundus image classification tasks still have the problems of small
data volumes, uneven distributions, and low classification accuracy. In order to solve the …