Ausgabe 4/2017
Machine Learning in Imaging Informatics in Medicine
Inhalt (15 Artikel)
Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session
Marc D. Kohli, Ronald M. Summers, J. Raymond Geis
Toolkits and Libraries for Deep Learning
Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy Kline, Kenneth Philbrick
Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data
Daniel Forsberg, Erik Sjöblom, Jeffrey L. Sunshine
Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages
Eiichiro Okumura, Ikuo Kawashita, Takayuki Ishida
Fully Automated Deep Learning System for Bone Age Assessment
Hyunkwang Lee, Shahein Tajmir, Jenny Lee, Maurice Zissen, Bethel Ayele Yeshiwas, Tarik K. Alkasab, Garry Choy, Synho Do
Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys
Timothy L. Kline, Panagiotis Korfiatis, Marie E. Edwards, Jaime D. Blais, Frank S. Czerwiec, Peter C. Harris, Bernard F. King, Vicente E. Torres, Bradley J. Erickson
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
Zeynettin Akkus, Issa Ali, Jiří Sedlář, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson
Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network
Jianning Chi, Ekta Walia, Paul Babyn, Jimmy Wang, Gary Groot, Mark Eramian
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis
Hyunkwang Lee, Fabian M. Troschel, Shahein Tajmir, Georg Fuchs, Julia Mario, Florian J. Fintelmann, Synho Do
Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement
Philip Teare, Michael Fishman, Oshra Benzaquen, Eyal Toledano, Eldad Elnekave
Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions
Imon Banerjee, Christopher F. Beaulieu, Daniel L. Rubin
A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering
Pat Banerjee, Mengqi Hu, Rahul Kannan, Srinivasan Krishnaswamy