Detecting diabetic retinopathy involves using deep learning algorithm to identify patients with diabetic retinopathy from retinal colour fundus images and using system RNN Recurrent Neural Network Algorithm
	PRASHANTH N S; RAHUL P; ABHISHEK P; KRISHNA P H; KARTHIK B; BALAJI S; ARULSELVI S; HABIBA U H; HEMALATHA B
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069895-A
成果简介	NOVELTY - Detecting diabetic retinopathy involves using deep learning algorithm to identify patients with diabetic retinopathy from retinal colour fundus images and using system RNN Recurrent Neural Network Algorithm. USE - Method for detecting diabetic retinopathy. ADVANTAGE - The method is more efficient and easy to use for anyone, and it helps people who are suffering from eye disease called, this improve the annual eye sight of human beings before getting damaged. The method ensure detection of the eye diseases at the early stage itself.
IPC 分类号	A61K-031/00 ; A61K-038/00 ; A61P-027/02 ; A61P-003/10 ; G06N-003/04
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/19649
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	PRASHANTH N S,RAHUL P,ABHISHEK P,et al. Detecting diabetic retinopathy involves using deep learning algorithm to identify patients with diabetic retinopathy from retinal colour fundus images and using system RNN Recurrent Neural Network Algorithm. IN202341069895-A[P]. 2023.

条目包含的文件
条目无相关文件。

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。