Laser Marks Detection for Diagnosis Diabetic Retinopathy
During laser treatment of Diabetic Retinopathy, there leave behind marks on the retinal surface that causes misbehaviors in automated retinal diagnostic system which hinders the further analysis of the retinal images so in order to avoid any unnecessary processing, this project presents a method to automatically detect laser marks from the retinal images and present results based on the performance evaluation.
I'm a experienced Data Scientist ready to do your work in an efficient way with strong analytical and logical reasoning skills with insatiable interest in Data Science and Big Data Analytics. Data analysis- Data Mining-Forecasting using R, SPSS, Excel and SAS Enterprise Miner. Machine learning- KNN, SVM, NB, PCA, LDA, RF, K-means/Hierarchical clustering, Supervised and Unsupervised Learning etc. Deep Learning - RNN, CNN, RCNN, RNTN etc. Programming Languages - R, Python, Java, C++, C, C# etc. Databases: Teradata-SQL, MySQL