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- The University of MelbourneAU6 papers
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9 papers · 1 filter
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning
Suman Sedai, Bhavna Antony, Dwarikanath Mahapatra +1
Optical coherence tomography (OCT) is commonly used to analyze retinal layers for assessment of ocular diseases. In this paper, we propose a method for retinal layer segmentation a…
Low-Voltage Distribution Network Impedances Identification Based on Smart Meter Data
Sergey Iakovlev, Robin J. Evans, Iven Mareels
Under conditions of high penetration of renewables, the low-voltage (LV) distribution network needs to be carefully managed. In such a scenario, an accurate real-time low-voltage p…
Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images
Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge +2
Localization of chest pathologies in chest X-ray images is a challenging task because of their varying sizes and appearances. We propose a novel weakly supervised method to localiz…
Confidence penalty, annealing Gaussian noise and zoneout for biLSTM-CRF networks for named entity recognition
Antonio Jimeno Yepes
Named entity recognition (NER) is used to identify relevant entities in text. A bidirectional LSTM (long short term memory) encoder with a neural conditional random fields (CRF) de…
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey
Ashkan Yousefpour, Caleb Fung, Tam Nguyen +5
With the Internet of Things (IoT) becoming part of our daily life and our environment, we expect rapid growth in the number of connected devices. IoT is expected to connect billion…
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai +2
The widely used ChestX-ray14 dataset addresses an important medical image classification problem and has the following caveats: 1) many lung pathologies are visually similar, 2) a…