… novel automatic approach for OSCC diagnosis using deep learning technologies on CLE
images. The method is compared against textural feature-based machine learning approaches …

… Inspired by the success of AlphaGo Zero, we propose an automatic classification method
based on deep learning for bearing fault diagnosis. Considering the computational constraints, …

… deep learning approach to plutonic rock classification described in this paper is based on
several concepts. First we present the geology-related background and then the deep-learning…

… videos by automatically tagging informative sections. … a deep learning model for informative
frame classification in … to facilitate the development of deep learning models for automated …

… image analysis tasks including automatic grading of diabetic … trained a deep learning
algorithm to classify emphysema … deep learning could successfully automate this classification. …

… system using Deep learning algorithm in Artificial Intelligence to classify objects as … , can
identify objects real-time and classify them almost accurately. Biodegradable waste is used to …

… Herein, we explore the potential of a deep learning model to automatically distinguish
abnormal cells from normal cells. The ThinPrep cytologic test dataset was collected from the fourth …

… classification of magnetic resonance images 17,18 for the detection of liver degeneration
from ultrasound images 19 and for the automatic classification … multi-label deep learning-based …

… Nowadays, deep learning-based methods are in practice to analyze the data. These … This
paper implements a deep learning (DL) model that uses the DenseNet121 model to classify …

… In this paper, we present a deep learning image classification method based on dual-modal
images captured from our low-cost, dual-mode, smartphone-based intraoral screening …