… The different handcrafted and non-handcrafted features were compared and combined in
this work, with their independence examined using the Q-statistic [28]. The proposed GP …

… with the handcrafted features that were introduced in previous studies. In fact, the handcrafted
features considered in the current study are the texture and morphological features. The …

… a classification model based on KNN with the combination of deep and handcrafted features
… The classification of four malignancy levels is examined by three classifiers with three sets …

… that handcrafted features complement the image representation learned by DCNNs on
small training datasets and improve accuracy in certain medical image classification problems. …

… We believe that it is the diatomist who must consider if an automatic classification system
is acceptable, assuming a certain level of accuracy to classify different taxa. A reject option is …

… relevant features are combined with handcrafted features to improve the classification …
An automatic classification method for brain tumor using CNN approach was proposed by [5]…

… However, the automatic classification of the point cloud is rendered challenging by some
of the data characteristics of the point cloud, such as the irregularity of point distributions, the …

… Therefore, more efficient and effective image classification techniques are required. Three
different techniques for automatic classification of medical X-ray images were compared. A …

… [4] proposed a method based on integral geometry and classification with KNN to automatically
classify erythrocytes, using the same dataset considered in this paper. Rodrigues et al. […

… Preprocessing, segmentation, feature extraction, and classification are all included in the …
handcrafted features with deep features was used to produce a meaningful collection of feature …