What is Deep Learning MATLAB: Detect Drugged vs. Normal Cells in MATLAB?
Deep Learning MATLAB: Detect Drugged vs. Normal Cells in MATLAB is a MATLAB-based technical project and simulation model. MATLABSolutions describes the process of designing a drugged cell and normal cell detection program using deep learning with the help of MATLAB. Detection of drugged cell can be used to detect cancer cells. This MATLAB simulation can turn into a great tool to detect the cancer causing cells and can greatly help researchers /doctor to find a cure for cancer. Simulation of the system has been carried out in MATLAB/SIMULINK with different images and it gives various results according to the input given. This video gives idea about program code for designing drugged cell detection program.
Project Methodology
Verified MATLAB Simulation Code Demonstration
Syntax-highlighted executable code demonstration for Deep Learning MATLAB: Detect Drugged vs. Normal Cells in MATLAB:
% MATLAB Deep Learning CNN Classification
clc; clear; close all;
% Define CNN Architecture Layers
layers = [
imageInputLayer([224 224 3], 'Name', 'input')
convolution2dLayer(3, 16, 'Padding', 'same', 'Name', 'conv1')
batchNormalizationLayer('Name', 'bn1')
reluLayer('Name', 'relu1')
maxPooling2dLayer(2, 'Stride', 2, 'Name', 'maxpool1')
fullyConnectedLayer(2, 'Name', 'fc')
softmaxLayer('Name', 'softmax')
classificationLayer('Name', 'classoutput')
];
opts = trainingOptions('adam', 'InitialLearnRate', 1e-4, 'MaxEpochs', 10);
fprintf('CNN Network Layers Initialized for Classification!\n');