Search Results for author:
Found 7 papers, 2 papers with code
Pushing the limits of cell segmentation models for imaging mass cytometry
Our results show that removing 50% of cell annotations from GT masks only reduces the dice similarity coefficient (DSC) score to 0. 874 (from 0. 889 achieved by a model trained on fully annotated GT masks).
DeepVerge: Classification of Roadside Verge Biodiversity and Conservation Potential
Open space grassland is being increasingly farmed or built upon, leading to a ramping up of conservation efforts targeting roadside verges.
Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage
This paper presents a spatiotemporal deep learning approach for mouse behavioural classification in the home-cage.
Not Color Blind: AI Predicts Racial Identity from Black and White Retinal Vessel Segmentations
To determine whether RVM differences between Black and White eyes were physiological, CNNs were trained to predict race from color RFIs, raw RVMs, and thresholded, binarized, or skeletonized RVMs.
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance gains in medical image classification tasks.
Deep feature transfer between localization and segmentation tasks
In this paper, we propose a new pre-training scheme for U-net based image segmentation.
Institutionally Distributed Deep Learning Networks
In such cases, sharing a deep learning model is a more attractive alternative.
