Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate vessel segmentation in retinal images prove to be a challenging process due to variations of intensity distribution and small scale of vessels, and development of clinically applicable analysis tools presents even more difficult tasks. Major obstacles include detection of very small vessels.  reports on a unique approach to these problems, which defines a simple but effective feature concept called pixel strength, and applies a combination of global and local methods as ll as post-processing based on multi-agent. The proposed algorithm was tested using DRIVE database, whose results shod consistent performance improvement over existing solutions  have seen in literature. The effectiveness and robustness of the method re also proved with clinical images. The vessel segmentation results demonstrated its near readiness to be deployed and used for clinical studies of retinopathy.
['Ping Jiang', 'Leiguang Gong', 'Xiaoying Hu']
I am writing a research paper on a idea Vessel segmentation of retinal image based on pixel strength and multi-agent
[{"from": "human", "value": "I am writing a research paper on a idea Vessel segmentation of retinal image based on pixel strength and multi-agent"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate vessel segmentation in retinal images prove to be a challenging process due to variations of intensity distribution and small scale of vessels, and development of clinically applicable analysis tools presents even more difficult tasks. Major obstacles include detection of very small vessels.  reports on a unique approach to these problems, which defines a simple but effective feature concept called pixel strength, and applies a combination of global and local methods as ll as post-processing based on multi-agent. The proposed algorithm was tested using DRIVE database, whose results shod consistent performance improvement over existing solutions  have seen in literature. The effectiveness and robustness of the method re also proved with clinical images. The vessel segmentation results demonstrated its near readiness to be deployed and used for clinical studies of retinopathy."}]