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Resampling and super-resolution of hexagonally sampled images using deep learning
However, to the best of our knowledge, the practical benefit of hexagonal sampling in light of modern processing techniques such as RCAN SR is heretofore untested.
Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation
We also propose a spectral-ratio Fried parameter estimation algorithm that is robust to camera motion and requires no specialized scene content or sources.
Understanding Deep Neural Network Predictions for Medical Imaging Applications
Computer-aided detection has been a research area attracting great interest in the past decade.
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
Our score was 0. 841 with SVM classifier on the validation dataset.
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features
This paper provides the required description of the methods used to obtain submitted results for Task1 and Task 3 of ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection.
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