… 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 …

… , 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 (…

… 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, …

… 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 classification of hyperspectral images is considered in this paper. Deep learning
… a deep learning network. It is expensive getting good labeled samples in hyperspectral …

… 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, …

… to study possibility to use image classification and deep learning method for classify bacteria
… to use deep learning to classify the standard resolution bacteria image for further research …

… are followed by image preprocessing and classification for … of image starts with conversion
of given image features to gray … the deep learning model used in training of image data. …

… For such, it compares the use of deep learning, … Deep Learning techniques applied to image
processing tasks have achieved predictive performance superior to traditional classification …