Field Fundus Image

Field fundus images, encompassing multiple photographic fields of the eye's interior, are increasingly used in automated diagnosis of ophthalmological conditions like glaucoma and diabetic retinopathy. Research focuses on developing sophisticated algorithms, such as transformer-based networks, to effectively fuse information from these multiple fields, leveraging their complementary perspectives for improved diagnostic accuracy. This work is driven by the need for more efficient and accurate screening tools, ultimately aiming to improve early detection and treatment of vision-threatening diseases. The creation of large, publicly available datasets of multi-field fundus images is also a key area of development, facilitating the advancement of this research.