Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mamatha Rudrapatna"'
Publikováno v:
Knowledge Engineering: Practice and Patterns ISBN: 9783540876953
EKAW
EKAW
The challenge of situated cognition mounted by Clancey and others 20 years ago seems to have had little impact on the technical development of AI systems. However, the hopes for the Semantic Web also seem far from being realised in much the same way
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fced4d12853b16e6ea0f9d4ec0eac788
https://doi.org/10.1007/978-3-540-87696-0_32
https://doi.org/10.1007/978-3-540-87696-0_32
Publikováno v:
Information processing in medical imaging : proceedings of the ... conference. 19
Consistent efforts are being made to build Computer-Aided Detection and Diagnosis systems for radiological images. Such systems depend on automated detection of various disease patterns, which are then combined together to obtain differential diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::0964f1c2fa40bff688ea5dcb9986e55b
https://pubmed.ncbi.nlm.nih.gov/17354702
https://pubmed.ncbi.nlm.nih.gov/17354702
Publikováno v:
ICIP
On high resolution computed tomography (HRCT) images, dilated airways appear as two parallel lines that resemble tram tracks, when they lie in the plane of scan. Tram tracks, when visible, are characteristic of bronchiectasis, a disease caused by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d0717b503a56b1a8ea0934f8923942
https://doi.org/10.1109/icip.2006.312510
https://doi.org/10.1109/icip.2006.312510
Autor:
Arcot Sowmya, Mamatha Rudrapatna
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540497875
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
In many recognition tasks, a simple discrete class label is not sufficient and ranking of the classes is desirable; in others, a numeric score that represents the confidence of class membership for multiple classes is also required. Differential diag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48b613e4b9bc36197f833d4861aaa93b
https://doi.org/10.1007/11941439_29
https://doi.org/10.1007/11941439_29
Publikováno v:
IEEE Conference on Cybernetics and Intelligent Systems, 2004..
High-resolution computed tomography (HRCT) images have been found to be more sensitive than chest radiographs and conventional CT in diffuse lung disease diagnosis. Parenchymal bands are a type of reticular opacity commonly seen in patients with asbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22bff958248f85b0342287c8d3460371
https://doi.org/10.1109/iccis.2004.1460685
https://doi.org/10.1109/iccis.2004.1460685
Publikováno v:
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..
The aim of this work is to develop an automatic lung segmentation system, capable of segmenting the lung into apical, middle and basal regions, along the axial plane of the body. An accurate segmentation of the lung is important for diagnosis of diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6156a332a54fa487cd115c7d6ae3607
https://doi.org/10.1109/issnip.2004.1417503
https://doi.org/10.1109/issnip.2004.1417503
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540265450
IPMI
IPMI
Consistent efforts are being made to build Computer-Aided Detection and Diagnosis systems for radiological images. Such systems depend on automated detection of various disease patterns, which are then combined together to obtain differential diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1c73735a40d0ca09cd706d53c8f0374
https://doi.org/10.1007/11505730_23
https://doi.org/10.1007/11505730_23
Autor:
Peter Wilson, Phil Lucas, Arcot Sowmya, James S. J. Wong, Mamatha Rudrapatna, George Kossoff, Sata Busayarat, Avishkar Misra, Tatjana Zrimec
Publikováno v:
SPIE Proceedings.
As part of the Learning Medical Imaging Knowledge project, we are developing a knowledge-based, machine learning and knowledge acquisition framework for systematic feature extraction and recognition of a range of lung diseases from High Resolution Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3af8b16d2d90a94fd220ba44db2ac39
https://doi.org/10.1117/12.526290
https://doi.org/10.1117/12.526290