Results 101 to 110 of about 277,755 (206)
Primary angle closure disease (PACD) is a major cause of blindness worldwide. It has a high prevalence in East Asia, especially in China, which leads to a higher incidence of blindness than open-angle glaucoma.
Zhiqiao Liang+8 more
doaj +1 more source
Automated Retinal Image Analysis and Medical Report Generation through Deep Learning [PDF]
The increasing prevalence of retinal diseases poses a significant challenge to the healthcare system, as the demand for ophthalmologists surpasses the available workforce. This imbalance creates a bottleneck in diagnosis and treatment, potentially delaying critical care.
arxiv
Occlusive thromboaortopathy (Takayasu's disease): cervical arterial stenoses, retinal arterial pressure, retinal microaneurysms and prognosis. [PDF]
K. Ishikawa, M Uyama, K Asayama
openalex +1 more source
RetinalGPT: A Retinal Clinical Preference Conversational Assistant Powered by Large Vision-Language Models [PDF]
Recently, Multimodal Large Language Models (MLLMs) have gained significant attention for their remarkable ability to process and analyze non-textual data, such as images, videos, and audio. Notably, several adaptations of general-domain MLLMs to the medical field have been explored, including LLaVA-Med.
arxiv
Carl P. Herbort, Ioannis Papasavvas
doaj +1 more source
CUNSB-RFIE: Context-aware Unpaired Neural Schrödinger Bridge in Retinal Fundus Image Enhancement [PDF]
Retinal fundus photography is significant in diagnosing and monitoring retinal diseases. However, systemic imperfections and operator/patient-related factors can hinder the acquisition of high-quality retinal images. Previous efforts in retinal image enhancement primarily relied on GANs, which are limited by the trade-off between training stability and
arxiv
DIFFUSE ARTERIOLAR DISEASE WITH HYPERTENSION AND THE ASSOCIATED RETINAL LESIONS
Henry P. Wagener, Norman M. Keith
openalex +1 more source
Cellular autoimmunity to retinal specific antigens in patients with Behcet's disease. [PDF]
Joyce Hisae Yamamoto+4 more
openalex +1 more source
Interpretable Few-Shot Retinal Disease Diagnosis with Concept-Guided Prompting of Vision-Language Models [PDF]
Recent advancements in deep learning have shown significant potential for classifying retinal diseases using color fundus images. However, existing works predominantly rely exclusively on image data, lack interpretability in their diagnostic decisions, and treat medical professionals primarily as annotators for ground truth labeling.
arxiv