All Stories

  1. Her2Net: A Deep Framework for Semantic Segmentation and Classification of Cell Membranes and Nuclei in Breast Cancer Evaluation
  2. Efficient deep learning model for mitosis detection using breast histopathology images
  3. Near-set Based Mucin Segmentation in Histopathology Images for Detecting Mucinous Carcinoma
  4. Imprint cytology-based breast malignancy screening: an efficient nuclei segmentation technique
  5. An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer
  6. Computer-aided diagnosis of breast cancer using cytological images: A systematic review
  7. Quantitative microscopic evaluation of mucin areas and its percentage in mucinous carcinoma of the breast using tissue histological images
  8. Nanoscale Surface Characterization of Human Erythrocytes by Atomic Force Microscopy: A Critical Review
  9. Histogram Based Thresholding for Automated Nucleus Segmentation Using Breast Imprint Cytology