IEEE

A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms

Abstract: Breast cancer poses lots of challenges in the medical fraternity worldwide. Hence, it requires early diagnosis to treat the affected people. In this paper, we have presented a novel Dilated ...
Hosted on MSN

What Is A Cnn? Convolutional Neural Networks Made Simple

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...
GitHub

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

This code was written in Matlab. It was tested on a PC with a Windows 10 operation system, Matlab R2016a, Microsoft Visual C++ 2012, and a GeForce GTX 970 GPU card. Because the code used the ...
eeworldonline

How to use convolution to implement filters: part 2

A moving-average filter can address white noise in the time domain but performs poorly in the frequency domain. Figure 1. The convolution engine calculates y(tn) for n=6 (a) and then goes on to ...
Scientific Research Publishing

Liu, Y., Pu, H. and Sun, D. (2021) Efficient Extraction of Deep Image Features Using Convolutional Neural Network (CNN) for Applications in Detecting and Analysing Complex Food ...

ABSTRACT: The food recognition systems are available for foreign dishes but much work has not been done for our traditional dishes making it difficult to classify the traditional dishes and the ...
Scientific Research Publishing

Advanced Skin Disease Diagnosis and Treatment: Leveraging Convolutional Neural Networks for Image-Based Prediction and Comprehensive Health Assistance ()

Skin conditions are a worldwide health issue that requires prompt and accurate diagnosis in order to be effectively treated. This study presents a Convolutional Neural Network (CNN)-based automated ...