… used to classify colposcopy images. … deep learning’ for classification of images from colposcopy
exists to date. Although previous studies have used automation diagnosis, deep learning …

… of the burgeoning deep learning techniques to the task of classification of CT brain images,
in … Towards this end, three categories of CT images (N = 285) are clustered into three groups, …

… , deep learning is recognized as an effective feature extraction approach during HSI classification
… In this paper, we focus on deep learning-based classification methodologies for HSIs …

… review the following three typical deep neural network models that have been used for RS
image classification. More details about DL architectures in machine learning can be found in (…

… be seen for ‘deep learning’ and ‘3D deep learning’ after 2015 … related to deep learning for
both 2D and 3D images. … of 3D deep learning in medical image segmentation, classification, …

… in classifying images is the use of deep learning for classifying images into pleasant and …
the use of deep learning in image classification because deep learning can give us a deeper …

… histology classification, however, recent advances in deep learning for medical image analysis
… We also found that using machine learning classifiers such as k-nearest neighbors (kNN) …

… In this paper, we exploit deep learning techniques to address the hyperspectral image
classification … to enhance hyperspectral image classification. In particular, we advocate four new …

… Automatic vegetable image classification is the … images classification based on deep
learning framework. The AlexNet network model in Caffe was used to train the vegetable image …

… deep learning (SDL) model to learn the … of images, which include both similar images in
different categories and dissimilar images in the same category, for medical image classification. …