BMVA
British Machine Vision Association and Society for Pattern Recognition
http://www.bmva.org/meetings
Second Call for Participation
Visual Features in Medical Image Retrieval
One Day BMVA technical meeting in London, UK, on 25th April 2012
Chair: Dr. Xiaohong (Sharon) Gao, Middlesex University
Visual features have long played a vital role in image understanding and
interpretation, especially in the medical domain. Therefore they have
been at present increasingly being used to the task of indexing and
retrieval. However, because of the gaps between low level features,
e.g., colour, shape, and texture that computers are able to extract, and
high level semantics from human’s interpretation, such as tumour or
bleeding, visual feature based (or commonly known as content-based)
image retrieval still remains in a research realm. On the other hand,
the methods that are employed to extract and subsequently to interpret
visual features vary appreciably, leading to very different groups of
retrieved results. Particularly, the higher the dimension of an image
(e.g., 2D, 3D, or 4D of a brain image) is, the more complexity towards
the extraction of visual features can be. In general, the approaches
that work perfectly on a set of 2D images will usually not function well
for a 3D dataset, due to in part the ways that 2D algorithms constitute
and in part the processing speed when the dimension is getting higher.
In addition, due to the exponentially increase of medical images day by
day, finding relevant data proves to be extremely difficult in a timely
fashion, like finding a needle in a hay stack. Hence, visual feature
based retrieval can help to a great extent for being complementary to
the current text-based search.
This one day meeting aims at exchanging ideas in this field on the
extraction of visual features with the focus on cementing the gap
between low level visual features and high level semantics to ensure
visual feature based retrieval is on course to be applied in a real
clinical sector. The meeting will consist of tutorials, key note
speeches and presentations with application areas include (but not
limited to) medical images of 2D (e.g., x-ray, retinal), 3D or higher
(e.g., CT, MR), and video images (e.g, ultrasound). The following
topics, and any related, are encouraged to submit:
- Computational approaches to extraction of visual features
- Image semantics
- Visual feature interpretation and representation
- Image ontology
- Content-based image/video image retrieval
- Segmentation of salient visual features
- Image interpretation
- Medical image systems
- Medical data mining
- Image repository/database
Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred by email attachment to Xiaohong
(Sharon) Gao ([log in to unmask] ) by Friday 17th February 2012.
Dr Dimitrios Makris
Reader
Faculty of Science, Engineering and Computing
Kingston University, London
Tel: +44 20 8417 7082
Email: [log in to unmask] <mailto:[log in to unmask]>
Web: staffnet.kingston.ac.uk/~ku32195/
<http://staffnet.kingston.ac.uk/%7Eku32195/>
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