２０１６年９月１２－１３日米国バージニア州アレキサンドリアで開催された、Conference on Machine Intelligence in Medical Imaging　（C-MIMI)での注目演題を挙げてみた。

骨年齢・骨腫瘍に関する演題

• Performance of a Deep Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs
  David B. Larson, MD, MBA, Stanford University School of Medicine; Matthew C. Chen (Presenter); Matthew P. Lungren, MD, MHA; Safwan Halabi, MD; Curtis P. Langlotz, MD, PhD, FSIIM
• What Does AI See When Performing Bone Age Classification with Deep Neural Networks?
  Synho C. Do, PhD, Massachusetts General Hospital and Harvard Medical School (Presenter); Hyunkwang Lee, PhD Candidate; Shahein Tajmir, MD
• Bone Tumor Diagnosis Using a Naive Bayesian Model of Demographic and Radiographic Features
  Bao H. Do, MD, Stanford University (Presenter); Rui Shu; Curtis P. Langlotz, MD, PhD, FSIIM (Presenter); Christopher Beaulieu, MD, PhD

胸部・心臓の演題

• Deep Convolutional Neural Networks for Endotracheal Tube Position and X-Ray Image Classification: Challenges and Opportunities
  Paras Chetan Lakhani, MD, Thomas Jefferson University Hospital (Presenter); Adam Flanders, MD
• DeepVentricle: Automated Cardiac MRI Ventricle Segmentation with Deep Learning
  Hok Kan Lau, Arterys, Inc. (Presenter); Jesse Lieman-Sifry; Daniel Golden, PhD; John Axerio-Cilies, PhD; Dominik Fleischmann, MD; Aya Kino, MD; Frandics Chan, MD, PhD
• DeepLung: Automatic Interstitial Lung Disease Analytics with Deep Learning in HRCT
  Shu Billy Liao, PhD, Siemens Medical Solutions; Felix Nensa, MD; Yiqiang Zhan, PhD; Sandra Maier, MD; Hilmar Kühl, MD; Michael Forsting, MD; Lale Umutlu, MD; Xiang Sean Zhou, PhD (Presenter)

MMG：

• An Integrated Classification and Retrieval Based Diagnostic Aid for Breast Cancer Detection of Mammograms
  Md Mahmudur Rahman, PhD, Morgan State University (Presenter); Nuh Alpaslan, PhD Candidate

• Malignancy Risk Assessment and Localization on Mammography Using False Color Enhancement Via Contrast Limited Adaptive Histogram Equalization
  Philip Alexander Teare, Zebra Medical Vision; Abigail Morrison, PhD; Eldad E. Elnekave, MD (Presenter)

脳腫瘍

• Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
  Zeynettin Akkus, PhD, Mayo Clinic (Presenter); Jiri Sedlar, PhD; Issa Ali; Caterina Giannini, MD, PhD; Ian Parney; Bradley J. Erickson, MD, PhD

甲状腺超音波

• A Deep Learning Approach to Thyroid Nodule Classification in Sonographic Images
  Ekta Walia Bhullar, PhD, University of Saskatchewan; Paul S. Babyn, MDCM; Gary Groot, MD; Jimmy Wang, MD; Mark Eramian, PhD