Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach
Veysi Yıldız(Northeastern University), Michael F. Chiang(United States National Library of Medicine), James M. Brown(Mary Lyon Centre at MRC Harwell), J. Peter Campbell(Oregon Health & Science University), Jayashree Kalpathy–Cramer(University of Colorado Denver), Jennifer Dy(Northeastern University), R.V. Paul Chan(University of Illinois Chicago), Stratis Ioannidis(Northeastern University), Peng Tian(Northeastern University), Deniz Erdoğmuş(Northeastern University), Sang Jin Kim(Samsung Medical Center), İlkay Yıldız(Northeastern University), Susan Ostmo(Oregon Health & Science University)
Cited by 60
Related Papers
3D Slicer as an image computing platform for the Quantitative Imaging Network
|Magnetic Resonance Imaging|2012|9.1k
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
|IEEE Transactions on Medical Imaging|2014|6.7k
High-throughput discovery of novel developmental phenotypes
|Nature|2016|1.3k
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials
|Neuro-Oncology|2015|670
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
|JAMA Ophthalmology|2018|660