Abstract:
This paper shows how to classify the medical ultrasound images by using artificial intelligence with experimental software with MATLAB. The main goal is a classification ...Show MoreMetadata
Abstract:
This paper shows how to classify the medical ultrasound images by using artificial intelligence with experimental software with MATLAB. The main goal is a classification of ROI substantia nigra in midbrain. This classification of the images is useful to detection Parkinson's disease. This work is based on image processing and is realized with the help of artificial intelligence which has been experimentally simulated in MATLAB software environment. This method is well applicable with Neural Network Toolbox in MATLAB.
Date of Conference: 21-25 May 2012
Date Added to IEEE Xplore: 16 July 2012
ISBN Information:
Conference Location: Opatija, Croatia
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Medical Imaging ,
- Artificial Intelligence ,
- Ultrasound Imaging ,
- Image Recognition ,
- Parkinson’s Disease Classification ,
- Neural Network ,
- Image Processing ,
- Midbrain ,
- Substantia Nigra ,
- Neural Network Toolbox ,
- Diagnosis Of Disease ,
- Artificial Neural Network ,
- Supervised Learning ,
- Input Image ,
- Area Measurements ,
- Input Samples ,
- Grayscale Images ,
- Input Files ,
- Neural Network Approach ,
- Diagnosis Of Parkinson’s Disease ,
- Correct Position ,
- Parkinson’s Disease Cases ,
- Image Processing Tools
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Medical Imaging ,
- Artificial Intelligence ,
- Ultrasound Imaging ,
- Image Recognition ,
- Parkinson’s Disease Classification ,
- Neural Network ,
- Image Processing ,
- Midbrain ,
- Substantia Nigra ,
- Neural Network Toolbox ,
- Diagnosis Of Disease ,
- Artificial Neural Network ,
- Supervised Learning ,
- Input Image ,
- Area Measurements ,
- Input Samples ,
- Grayscale Images ,
- Input Files ,
- Neural Network Approach ,
- Diagnosis Of Parkinson’s Disease ,
- Correct Position ,
- Parkinson’s Disease Cases ,
- Image Processing Tools
