17 citations · 53 across the 6 of their papers we have counts for
6 papers
Skin lesion segmentation and classification using deep learning and handcrafted features
Redha Ali, Hussin K. Ragb
Accurate diagnostics of a skin lesion is a critical task in classification dermoscopic images. In this research, we form a new type of image features, called hybrid features, which…
Resampling and super-resolution of hexagonally sampled images using deep learning
Dylan Flaute, Russell C. Hardie, Hamed Elwarfalli
Super-resolution (SR) aims to increase the resolution of imagery. Applications include security, medical imaging, and object recognition. We propose a deep learning-based SR system…
Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation
Russell C. Hardie, Michael A. Rucci, Santasri Bose-Pillai +1
Atmospheric optical turbulence can be a significant source of image degradation, particularly in long range imaging applications. Many turbulence mitigation algorithms rely on an o…
Understanding Deep Neural Network Predictions for Medical Imaging Applications
Barath Narayanan Narayanan, Manawaduge Supun De Silva, Russell C. Hardie +2
Computer-aided detection has been a research area attracting great interest in the past decade. Machine learning algorithms have been utilized extensively for this application as t…
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
Redha Ali, Russell C. Hardie, Manawaduge Supun De Silva +1
This short report describes our submission to the ISIC 2018 Challenge in Skin Lesion Analysis Towards Melanoma Detection for Task1 and Task 3. This work has been accomplished by a…
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features
Russell C. Hardie, Redha Ali, Manawaduge Supun De Silva +1
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. The…