{"id":9476,"date":"2023-05-22T16:28:55","date_gmt":"2023-05-22T09:28:55","guid":{"rendered":"https:\/\/bap-software.net\/?post_type=products&#038;p=9476"},"modified":"2023-12-04T10:09:40","modified_gmt":"2023-12-04T03:09:40","slug":"medical-image-analysis","status":"publish","type":"products","link":"https:\/\/bap-software.net\/kr\/case-study\/medical-image-analysis\/","title":{"rendered":"Medical Image Analysis"},"content":{"rendered":"<p><\/p>\n<h2>OVERVIEW<\/h2>\n<p>&#8211; Procedures such as detecting tumors, artery stenosis, organ delineation employ various different methods and frameworks like MapReduce to find optimal parameters for tasks like lung texture classification.<\/p>\n<p>&#8211; It applies machine learning methods, support vector machines (SVM), content-based medical image indexing, and wavelet analysis for solid texture classification.<\/p>\n<p>&#8211; Moreover, with a wide range of state-of-the-art deep learning neural networks and models, it is completely possible 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