Biomedical image classification based on a feature concatenation and ensemble of deep CNNs

This publication has 17 references indexed in Scilit:

• A survey on deep learning in medical image analysis
  Medical Image Analysis, 2017
• Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
  Medical Image Analysis, 2017
• Dermatologist-level classification of skin cancer with deep neural networks
  Nature, 2017
• An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
  IEEE Journal of Biomedical and Health Informatics, 2016
• Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
  2016
• Deep Residual Learning for Image Recognition
  2016
• Medical image classification using spatial adjacent histogram based on adaptive local binary patterns
  Computers in Biology and Medicine, 2016
• Benchmarking HEp-2 Cells Classification Methods
  IEEE Transactions on Medical Imaging, 2013
• Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
  2013
• A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells
  Bioinformatics, 2001