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Image classification with CNNs in Keras | Easy guide

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 ...
IEEE

Combining Features of Support Vector Machine with Convolutional Neural Network for Image Classification

Abstract: For image classification, it's recommended to start with traditional machine learning techniques before moving to deep learning. Support Vector Machine(SVM) is widely used in pattern ...
Frontiers

Research on improved underwater cable image processing technique based on CNN-GAN

In this study, we propose a CNN-GAN-based real-time processing technique for filtering images of underwater cables used in power systems. This addresses the excessive interference impurities that are ...
C&EN

RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis

Department of Computing & UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London SW7 2AZ, United Kingdom Department of Materials, Department of Bioengineering & ...
IEEE

Enhancing Diabetic Retinopathy Image Classification using CNN, Resnet, and Googlenet Models with Z-Score Normalization and GLCM Feature Extraction

Abstract: If diabetic retinopathy is not identified and treated right away, it is a dangerous side effect of diabetes that will cause blindness. In this work, we investigate novel deep learning (DL) ...
GitHub

Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)

We propose a new method for cancer subtype classification from histopathological images, which can automatically detect tumor-specific features in a given whole slide image (WSI). The cancer subtype ...
Nature

A novel CNN architecture for accurate early detection and classification of Alzheimer’s disease using MRI data

Alzheimer’s disease (AD) is a debilitating neurodegenerative disorder that requires accurate diagnosis for effective management and treatment. In this article, we propose an architecture for a ...
Nature

Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms

This study aimed to develop a bimodal convolutional neural network (CNN) by co-training grayscale images and scalograms of ECG for cardiovascular disease classification. The bimodal CNN model was ...
Frontiers

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM

The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...
LinkedIn

Number Plate Detection using CNN model using python and Flask API…

import numpy as np import cv2 import matplotlib.pyplot as plt #detecting license plate on the vehicle plateCascade = cv2.CascadeClassifier('indian_license_plate.xml') def plate_detect(img): plateImg = ...