Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images

Lungs_Nodule_Cancer_Detection_and_Classification_MRI_CT_Images

Lungs Nodule Detection and Classification using MRI and CT Scan Images

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Review 1

Demo ->

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This is a GUI Based Machine Learning App which performs:

  1. Nodule Detection and Segmentation.
  2. Lungs Cancer Classification Based on Convolutional Networks.

1. Home Module

This module is Homepage for Project GUI. On this page, sample images are presented for both detection and classification.

Home

2. Detection Module

This module is Detection for Project GUI, which performs segmentation using image processing techniques. In this module, following steps are being performed

  1. Input Image
  2. Noise Removal using Custom Filter
  3. Binary Conversion
  4. Post Processing
  5. Image Inversion
  6. Segmentation
  7. Finalize Image
  8. Find Circles
  9. Plotting Circles
  10. Evaluation of Segmentation and Detection

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3. Classification Module

This module is the second page of GUI and performs the classification. This module has following steps:

  1. Dataset Loading
  2. Neural Network Selection
  3. Output / Feature Layer Selection
  4. Batch Size Selection
  5. Training Feature Extraction
  6. Training of Classifier
  7. Test Feature Extraction
  8. Performance Evaluation
  9. Plot Classification Results.

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#Lungs #Nodule #Cancer #Tumor #Detection #Classification #Matlab #GUI #machinelearning #ComputerVision #ImageProcessing #DeepLearning #Feature #Fusion #Extraction #FYP #Project

Client Feedback:

Review 1