K
Kevin Smith
Researcher at Royal Institute of Technology
Publications - 60
Citations - 10918
Kevin Smith is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Image segmentation & Breast cancer. The author has an hindex of 25, co-authored 60 publications receiving 8802 citations. Previous affiliations of Kevin Smith include Karolinska Institutet & École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
TL;DR: A new superpixel algorithm is introduced, simple linear iterative clustering (SLIC), which adapts a k-means clustering approach to efficiently generate superpixels and is faster and more memory efficient, improves segmentation performance, and is straightforward to extend to supervoxel generation.
Journal ArticleDOI
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features
TL;DR: This work proposes an automated graph partitioning scheme that is able to segment mitochondria at a performance level close to that of a human annotator, and outperforms a state-of-the-art 3-D segmentation technique.
Proceedings ArticleDOI
Using particles to track varying numbers of interacting people
TL;DR: A Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera and a trans-dimensional Markov Chain Monte Carlo particle filter to recursively estimates the multi-object configuration and efficiently search the state-space is presented.
Journal ArticleDOI
Digital image analysis in breast pathology-from image processing techniques to artificial intelligence.
TL;DR: The use of AI and deep learning in diagnostic breast pathology, and other recent developments in digital image analysis are covered.
Proceedings ArticleDOI
Evaluating Multi-Object Tracking
TL;DR: The tracking characteristics important to measure in a real-life application are explored, focusing on configuration and identification, and a set of measures and a protocol to objectively evaluate these characteristics are defined.