Search Results for author: Lorenz Berger

Found 3 papers, 0 papers with code

Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation

no code implementations13 Jun 2018 Lorenz Berger, Eoin Hyde, Matt Gibb, Nevil Pavithran, Garin Kelly, Faiz Mumtaz, Sébastien Ourselin

Training deep neural networks on large and sparse datasets is still challenging and can require large amounts of computation and memory.

Semantic Segmentation

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia

no code implementations2 May 2018 Luis C. Garcia-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer Ahmad, Laurence Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan Haidry, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

We present a new approach to visualise attention that aims to give some insights on those areas of the oesophageal tissue that lead a network to conclude that the images belong to a particular class and compare them with those visual features employed by clinicians to produce a clinical diagnosis.

General Classification

An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation

no code implementations8 Sep 2017 Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sebastien Ourselin

Deep convolutional neural networks (CNNs) have shown excellent performance in object recognition tasks and dense classification problems such as semantic segmentation.

Object Recognition Semantic Segmentation

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