GitHub

Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
IEEE

HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional neural network (CNN) ...
来自MSN

Image Classification With Cnns In Keras — Full Code Walkthrough

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for ...

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
Frontiers

Multi-view image-based behavior classification of wet-dog shake in Kainate rat model

The wet-dog shake behavior (WDS) is a short-duration behavior relevant to the study of various animal disease models, including acute seizures, morphine abstinence, and nicotine withdrawal. However, ...
IEEE

Multi-temporal PolSAR Image Classification Using F-SAE-CNN

Abstract: Crop classification using polarimetric SAR data is one of the most important applications in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. Obviously, for crop classification, multi ...
GitHub

dimkastan/sift-cnn-all-sky-images

This repo implements the following paper: Tsourounis, D.; Kastaniotis, D.; Theoharatos, C.; Kazantzidis, A.; Economou, G. SIFT-CNN: When Convolutional Neural Networks ...