What are some exciting new applications of CNNs that are emerging in various industries?

Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Proceedings. Editors, Ahmed ... Mar 25, 2025 ... We introduce CNN-TumorNet, an innovative method for brain tumor classification utilizing a deep convolutional neural network (CNN) for the ... Feb 20, 2020 ... LeNet-5. LeNet-5 architecture is perhaps the most widely known CNN architecture. It was created by Yann LeCun in 1998 and widely used for ... Nov 30, 2018 ... We have explored the potential of microscopy images of fluorescently labeled nuclei for the prediction of toxicity based on nucleus pattern recognition. Oct 17, 2024 ... Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC ... A Convolutional Neural Network (CNN) is a type of deep learning model designed primarily for processing grid-like data, A convolutional neural network (CNN or ConvNet) is a network architecture for deep learning that learns directly from data. Aug 5, 2022 ... An integrated and hybrid approach based on deep convolutional neural network and machine learning classifiers is proposed for the accurate segmentation and ... Sep 30, 2024 ... I'm a CS student and have already studied and implemented "normal" Neural Networks, as well as many other machine learning algorithms, so I have ... ... CNN deep feature extraction with machine learning models to classify variety of food image datasets. Date of Award, Oct 2018. Original language, English.