Search & Display Options
Search within Results:
Field:
author
title
year
keywords
abstract
type
contains:
...
Exclude matches
Display Options:
Field:
all fields
keywords & abstract
additional fields
records per page
Select All
Deselect All
<<
1
2
>>
List View
|
Citations
|
Details
Records
Links
Author
Agnes Borras; Francesc Tous; Josep Llados; Maria Vanrell
Title
High-Level Clothes Description Based on Colour-Texture and Structural Features
Type
Conference Article
Year
2003
Publication
1rst. Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2003
Abbreviated Journal
Volume
Issue
Pages
Keywords
Abstract
Address
Palma de Mallorca
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
DAG;CIC
Approved
no
Call Number
CAT @ cat @ BTL2003b
Serial
369
Permanent link to this record
Author
Carles Sanchez; Antonio Esteban Lansaque; Agnes Borras; Marta Diez-Ferrer; Antoni Rosell; Debora Gil
Title
Towards a Videobronchoscopy Localization System from Airway Centre Tracking
Type
Conference Article
Year
2017
Publication
12th International Conference on Computer Vision Theory and Applications
Abbreviated Journal
Volume
Issue
Pages
352-359
Keywords
Video-bronchoscopy; Lung cancer diagnosis; Airway lumen detection; Region tracking; Guided bronchoscopy navigation
Abstract
Bronchoscopists use fluoroscopy to guide flexible bronchoscopy to the lesion to be biopsied without any kind of incision. Being fluoroscopy an imaging technique based on X-rays, the risk of developmental problems and cancer is increased in those subjects exposed to its application, so minimizing radiation is crucial. Alternative guiding systems such as electromagnetic navigation require specific equipment, increase the cost of the clinical procedure and still require fluoroscopy. In this paper we propose an image based guiding system based on the extraction of airway centres from intra-operative videos. Such anatomical landmarks are matched to the airway centreline extracted from a pre-planned CT to indicate the best path to the nodule. We present a
feasibility study of our navigation system using simulated bronchoscopic videos and a multi-expert validation of landmarks extraction in 3 intra-operative ultrathin explorations.
Address
Porto; Portugal; February 2017
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
VISAPP
Notes
IAM; 600.096; 600.075; 600.145
Approved
no
Call Number
Admin @ si @ SEB2017
Serial
2943
Permanent link to this record
Author
Debora Gil; Agnes Borras; Sergio Vera; Miguel Angel Gonzalez Ballester
Title
A Validation Benchmark for Assessment of Medial Surface Quality for Medical Applications
Type
Conference Article
Year
2013
Publication
9th International Conference on Computer Vision Systems
Abbreviated Journal
Volume
7963
Issue
Pages
334-343
Keywords
Medial Surfaces; Shape Representation; Medical Applications; Performance Evaluation
Abstract
Confident use of medial surfaces in medical decision support systems requires evaluating their quality for detecting pathological deformations and describing anatomical volumes. Validation in the medical imaging field is a challenging task mainly due to the difficulties for getting consensual ground truth. In this paper we propose a validation benchmark for assessing medial surfaces in the context of medical applications. Our benchmark includes a home-made database of synthetic medial surfaces and volumes and specific scores for evaluating surface accuracy, its stability against volume deformations and its capabilities for accurate reconstruction of anatomical volumes.
Address
Sant Petersburg; Russia; July 2013
Corporate Author
Thesis
Publisher
Springer Berlin Heidelberg
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
0302-9743
ISBN
978-3-642-39401-0
Medium
Area
Expedition
Conference
ICVS
Notes
IAM; 600.044; 600.060
Approved
no
Call Number
Admin @ si @ GBV2013
Serial
2300
Permanent link to this record
Author
Carles Sanchez; Miguel Viñas; Coen Antens; Agnes Borras; Debora Gil
Title
Back to Front Architecture for Diagnosis as a Service
Type
Conference Article
Year
2018
Publication
20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Abbreviated Journal
Volume
Issue
Pages
343-346
Keywords
Abstract
Software as a Service (SaaS) is a cloud computing model in which a provider hosts applications in a server that customers use via internet. Since SaaS does not require to install applications on customers' own computers, it allows the use by multiple users of highly specialized software without extra expenses for hardware acquisition or licensing. A SaaS tailored for clinical needs not only would alleviate licensing costs, but also would facilitate easy access to new methods for diagnosis assistance. This paper presents a SaaS client-server architecture for Diagnosis as a Service (DaaS). The server is based on docker technology in order to allow execution of softwares implemented in different languages with the highest portability and scalability. The client is a content management system allowing the design of websites with multimedia content and interactive visualization of results allowing user editing. We explain a usage case that uses our DaaS as crowdsourcing platform in a multicentric pilot study carried out to evaluate the clinical benefits of a software for assessment of central airway obstruction.
Address
Timisoara; Rumania; September 2018
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
SYNASC
Notes
IAM; 600.145
Approved
no
Call Number
Admin @ si @ SVA2018
Serial
3360
Permanent link to this record
Select All
Deselect All
<<
1
2
>>
List View
|
Citations
|
Details