Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cristina Gallego-Ortiz"'
Autor:
Cristina Gallego-Ortiz, Anne L Martel
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187501 (2017)
Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to
Externí odkaz:
https://doaj.org/article/64d972eee34c4b10be5b612ffa606cbc
Autor:
Cristina Gallego-Ortiz, Anne L. Martel
Publikováno v:
Radiology. 278:679-688
To determine suitable features and optimal classifier design for a computer-aided diagnosis (CAD) system to differentiate among mass and nonmass enhancements during dynamic contrast material-enhanced magnetic resonance (MR) imaging of the breast.Two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae61c0435cf937a5882a395ef0546f3
https://doi.org/10.1148/radiol.2015150241
https://doi.org/10.1148/radiol.2015150241
Publikováno v:
IEEE Transactions on Medical Imaging. 34:116-125
This paper presents a robust atlas-based segmentation (ABS) algorithm for segmentation of the breast boundary in 3-D MR images. The proposed algorithm combines the well-known methodologies of ABS namely probabilistic atlas and atlas selection approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d1ebec47c3b16d17f6491bacf1c46d
https://doi.org/10.1109/tmi.2014.2347703
https://doi.org/10.1109/tmi.2014.2347703
Autor:
Anne L. Martel, Cristina Gallego-Ortiz
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187501 (2017)
PLoS ONE
PLoS ONE
Computer-aided diagnosis (CAD) has been proposed for breast MRI as a tool to standardize evaluation, to automate time-consuming analysis, and to aid the diagnostic decision process by radiologists. T2w MRI findings are diagnostically complementary to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bae1889f8ab9a78a5cf33a1f7e2bffc
http://europepmc.org/articles/PMC5675400?pdf=render
http://europepmc.org/articles/PMC5675400?pdf=render
Publikováno v:
Medical Imaging: Image Processing
Segmentation of breast tissue in MRI images is an important pre-processing step for many applications. We present a new method that uses a random forest classifier to identify candidate edges in the image and then applies a Poisson reconstruction ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3cdef154c2a1c25dbbd28cea1438b34
https://doi.org/10.1117/12.2214416
https://doi.org/10.1117/12.2214416
Autor:
Anne L. Martel, Cristina Gallego-Ortiz
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
We aim to develop a CAD system for robust and reliable di erential diagnosis of breast lesions, in particular non-mass lesions. A necessary prerequisite for the development of a successful CAD system is the selection of the best subset of lesion desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7d316b32d3b1c2dcbbadde33d029f01
https://doi.org/10.1117/12.2043774
https://doi.org/10.1117/12.2043774