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Toplam kayıt 6, listelenen: 1-6
Meniscus Tear Classification Using Histogram of Oriented Gradients in Knee MR Images
(IEEE, 2018)
Automatic segmentation and classification studies in medical images have been intensely studied in recent years. The results obtained will support the decisions of medical experts. In this study, features were obtained by ...
Meniscus segmentation and tear detection in the knee MR images by fuzzy c-means method
(Institute of Electrical and Electronics Engineers Inc., 2017)
Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ...
Meniscus Segmentation and Tear Detection in the Knee MR Images by Fuzzy c-Means Method
(IEEE, 2017)
Computer-assisted diagnosis (CAD) studies on medical images have gained momentum recently. The studies in this area facilitates the work of medical specialists and reduces the time cost. In this study, meniscus segmentation ...
Faculty of Engineering Students' Success Analysis with Clustering Methods
(IEEE, 2013)
In this study, data clustering analysis for the student of faculty of engineering carried out. Cluster analysis, using the different characteristics or similar properties of objects in the data set, aims at creating in the ...
Automatic detection of meniscal area in the knee MR images
(IEEE, 2016)
Nowadays computer-aided medical systems has become widespread. These systems assist the scientists in the medical field with diagnosis and treatment. In the same vein, in this study detection of medial meniscus from MR ...
Tomato Leaf Disease Detection and Classification using Convolutional Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
Automatic classification process in images has been used in many fields, especially agriculture and medical fields in recent years. Especially in our country, image processing studies are needed to improve agriculture and ...