All Stories

  1. A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction
  2. Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images
  3. A Simultaneous Approach for Compression and Encryption Techniques Using Deoxyribonucleic Acid
  4. Enhance the Mammogram Images for Both Segmentation and Feature Extraction Using Wavelet Transform
  5. Machine learning and Region Growing for Breast Cancer Segmentation
  6. Trainable Model Based on New Uniform LBP Feature to Identify the Risk of the Breast Cancer
  7. Gene Selection and Classification of Microarray Data Using Convolutional Neural Network
  8. Multi-Level of DNA Encryption Technique Based on DNA Arithmetic and Biological Operations