Peter David Caie

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peter David Caie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhi-Hua Zhou
  2. Franck Pagès

Who trusts Peter David Caie overall

  1. Daisuke Komura
  2. Shumpei Ishikawa

Papers from Peter David Caie's perspective

Ordered by how strongly the researchers Peter David Caie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases (Journal of Pathology Informatics)
  4. A survey on deep learning in medical image analysis
  5. A brief introduction to weakly supervised learning
  6. Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification (Computer Vision and Pattern Recognition)
  7. Deep Learning for Identifying Metastatic Breast Cancer
  8. Detecting Cancer Metastases on Gigapixel Pathology Images
  9. Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival (Science Translational Medicine)
  10. Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep Learning

Their papers