Absolute cosine-based SVM-RFE feature selection method for prostate histopathological grading
Sign Up to like & getrecommendations! Published in 2018 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2018.04.002
Abstract: OBJECTIVE Feature selection (FS) methods are widely used in grading and diagnosing prostate histopathological images. In this context, FS is based on the texture features obtained from the lumen, nuclei, cytoplasm and stroma, all of… read more here.
Keywords: feature; tissue components; selection; method ... See more keywords
Fault Diagnosis for Reducer via Improved LMD and SVM-RFE-MRMR
Sign Up to like & getrecommendations! Published in 2018 at "Shock and Vibration"
DOI: 10.1155/2018/4526970
Abstract: The vibration signals are usually characterized by nonstationary, nonlinearity, and high frequency shocks, and the redundant features degrade the performance of fault diagnosis methods. To deal with the problem, a novel fault diagnosis approach for… read more here.
Keywords: svm rfe; fault; rfe mrmr; fault diagnosis ... See more keywords
Screening of Biomarkers in Liver Tissue after Bariatric Surgery Based on WGCNA and SVM-RFE Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "Disease Markers"
DOI: 10.1155/2023/2970429
Abstract: As the most common chronic liver disease around the world, nonalcoholic fatty liver disease (NAFLD) has a close connection with obesity, diabetes, and metabolic syndrome. Bariatric surgery (BS) is considered to be the most effective… read more here.
Keywords: liver; wgcna; rfe algorithms; svm rfe ... See more keywords