An overview of segmentation techniques for ct and mri images: clinical implications and future directions in medical diagnostics

HIGHLIGHTS

• What: These metrics are discussed in detail in the comparative analysis section, where the authors compare traditional and deep learning-based segmentation methods using data from publicly available datasets . The use of these keywords allowed the research to focus on studies dealing with medical image segmentation through advanced technologies such as deep learning and convolutional neural_networks, as well as specific applications on CT and MRI images. This approach is particularly useful for images with nonuniform illumination, as the threshold is calculated for different regions of the image, adapting to variations in brightness and improving segmentation accuracy . These . . .
  

   

  

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