HIGHLIGHTS
- who: Sarang Goel and collaborators from the Texas Academy of Mathematics and Science, Denton, TX, USA Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, USA have published the paper: Automated Region of Interest Selection Improves Deep Learning-Based Segmentation of Hyper-Reflective Foci in Optical Coherence Tomography Images, in the Journal: (JOURNAL)
- what: The authors propose a fully deep neural network based HRF segmentation model in OCT images. One limitation of the study is that the dataset is obtained from only one source that may cause the model 8 of . . .
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