中文
相关论文

相关论文: Developing a Machine-Learning Algorithm to Diagnos…

200 篇论文

Eye diseases are common in older Americans and can lead to decreased vision and blindness. Recent advancements in imaging technologies allow clinicians to capture high-quality images of the retinal blood vessels via Optical Coherence…

计算机视觉与模式识别 · 计算机科学 2024-07-23 Jacob Thrasher , Annahita Amireskandari , Prashnna Gyawali

Alzheimers disease is a deadly neurological condition, impairing important memory and brain functions. Alzheimers disease promotes brain shrinkage, ultimately leading to dementia. Dementia diagnosis typically takes 2.8 to 4.4 years after…

A well-known retinal disease that sends blurry visions to the affected patients is Macular Degeneration. This research is based on classifying the healthy and macular degeneration fundus by localizing the affected region of the fundus. A…

图像与视频处理 · 电气工程与系统科学 2024-05-03 Tahmim Hossain , Sagor Chandro Bakchy

Alzheimer's Disease is a neurodegenerative condition characterized by dementia and impairment in neurological function. The study primarily focuses on the individuals above age 40, affecting their memory, behavior, and cognitive processes…

计算机视觉与模式识别 · 计算机科学 2025-01-20 Mohammad Rafsan , Tamer Oraby , Upal Roy , Sanjeev Kumar , Hansapani Rodrigo

Age-related Macular Degeneration (AMD) is a progressive visual impairment affecting millions of individuals. Since there is no current treatment for the disease, the only means of improving the lives of individuals suffering from the…

图像与视频处理 · 电气工程与系统科学 2019-10-18 Prithul Aniruddha , Nasif Zaman , Alireza Tavakkoli , Stewart Zuckerbrod

Many eye diseases like Diabetic Macular Edema (DME), Age-related Macular Degeneration (AMD), and Glaucoma manifest in the retina, can cause irreversible blindness or severely impair the central version. The Optical Coherence Tomography…

图像与视频处理 · 电气工程与系统科学 2023-03-10 Nchongmaje Ndipenoch , Alina Miron , Zidong Wang , Yongmin Li

Retinal disease diagnosis is critical in preventing vision loss and reducing socioeconomic burdens. Globally, over 2.2 billion people are affected by some form of vision impairment, resulting in annual productivity losses estimated at $411…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Youssef Sabiri , Walid Houmaidi , Amine Abouaomar

Eye diseases have posed significant challenges for decades, but advancements in technology have opened new avenues for their detection and treatment. Machine learning and deep learning algorithms have become instrumental in this domain,…

图像与视频处理 · 电气工程与系统科学 2023-11-28 Gauri Naik , Nandini Narvekar , Dimple Agarwal , Nishita Nandanwar , Himangi Pande

This paper explores deterioration in Alzheimers Disease using Machine Learning. Subjects were split into two datasets based on baseline diagnosis (Cognitively Normal, Mild Cognitive Impairment), with outcome of deterioration at final visit…

机器学习 · 计算机科学 2023-06-21 Henry Musto , Daniel Stamate , Ida Pu , Daniel Stahl

Age-related macular degeneration (AMD) is the leading cause of visual impairment among elderly in the world. Early detection of AMD is of great importance, as the vision loss caused by this disease is irreversible and permanent. Color…

Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome characterized by cognitive impairment severe enough to interfere with activities of daily life. We aimed to conduct a systematic literature review (SLR) of…

定量方法 · 定量生物学 2021-08-31 Sayantan Kumar , Inez Oh , Suzanne Schindler , Albert M Lai , Philip R O Payne , Aditi Gupta

Age-related macular degeneration (AMD) is the most common cause of blindness in developed countries, especially in people over 60 years of age. The workload of specialists and the healthcare system in this field has increased in recent…

图像与视频处理 · 电气工程与系统科学 2022-02-07 Saman Sotoudeh-Paima , Ata Jodeiri , Fedra Hajizadeh , Hamid Soltanian-Zadeh

Among the most impactful diabetic complications are diabetic retinopathy, the leading cause of blindness among working class adults, and cardiovascular disease, the leading cause of death worldwide. This study describes the development of…

医学物理 · 物理学 2020-11-17 Kasyap Chakravadhanula

Diabetic Retinopathy (DR) is a serious and common complication of diabetes, caused by prolonged high blood sugar levels that damage the small retinal blood vessels. If left untreated, DR can progress to retinal vein occlusion and stimulate…

图像与视频处理 · 电气工程与系统科学 2025-04-07 Mohammad Reza Yousefi , Ali Bakrani , Amin Dehghani

Despite strong performance of deep learning models in retinal disease detection, most systems produce static predictions without clinical reasoning or interactive explanation. Recent advances in multimodal large language models (MLLMs)…

计算机视觉与模式识别 · 计算机科学 2026-04-29 Ran Gu , Benjamin Hou , Mélanie Hébert , Asmita Indurkar , Yifan Yang , Emily Y. Chew , Tiarnán D. L. Keenan , Zhiyong Lu

In assessing the severity of age-related macular degeneration (AMD), the Age-Related Eye Disease Study (AREDS) Simplified Severity Scale predicts the risk of progression to late AMD. However, its manual use requires the time-consuming…

计算机视觉与模式识别 · 计算机科学 2019-01-29 Yifan Peng , Shazia Dharssi , Qingyu Chen , Tiarnan D. Keenan , Elvira Agrón , Wai T. Wong , Emily Y. Chew , Zhiyong Lu

Diabetic Retinopathy is a critical health problem influences 100 million individuals worldwide, and these figures are expected to rise, particularly in Asia. Diabetic Retinopathy is a chronic eye disease which can lead to irreversible…

计算机视觉与模式识别 · 计算机科学 2019-09-27 Saket S. Chaturvedi , Kajol Gupta , Vaishali Ninawe , Prakash S. Prasad

This work aims to research an automatic method for detecting Age-related Macular Degeneration (AMD) lesions in RGB eye fundus images. For this, we align invasively obtained eye fundus contrast images (the "golden standard" diagnostic) to…

图像与视频处理 · 电气工程与系统科学 2021-10-19 Rokas Pečiulis , Mantas Lukoševičius , Algimantas Kriščiukaitis , Robertas Petrolis , Dovilė Buteikienė

INTRODUCTION: Advanced machine learning methods might help to identify dementia risk from neuroimaging, but their accuracy to date is unclear. METHODS: We systematically reviewed the literature, 2006 to late 2016, for machine learning…