Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hrishikesh Haldankar"'
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Computer-aided detection (CAD) has been used in screening mammography for many years and is likely to be utilized for digital breast tomosynthesis (DBT). Higher detection performance is desirable as it may have an impact on radiologist's decisions an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2f46bfe4edae89576e7b7d46d3c63b
https://doi.org/10.1117/12.2217045
https://doi.org/10.1117/12.2217045
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
In a typical 2D mammography workflow scenario, a computer-aided detection (CAD) algorithm is used as a second reader producing marks for a radiologist to review. In the case of 3D digital breast tomosynthesis (DBT), the display of CAD detections at m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d4c27cfecfce25ad2023b8c84d6cf8b
https://doi.org/10.1117/12.2217182
https://doi.org/10.1117/12.2217182
Autor:
Juanita Weaver, Peter L. Choyke, Senthil Periaswamy, Yin Yin, Dagane Daar, Baris Turkbey, Hrishikesh Haldankar, Robert J. Huang, Peter A. Pinto, Maria Merino, Sergei V. Fotin, Brian E. Garvey, Marcelino Bernardo, Naira Muradyan, Omer Aras
Publikováno v:
AJR. American journal of roentgenology. 201(5)
The objective of our study was to compare calculated prostate volumes derived from tridimensional MR measurements (ellipsoid formula), manual segmentation, and a fully automated segmentation system as validated by actual prostatectomy specimens.Ninet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b0cba1ca8a5afa75fb07bfc11b08bc
https://pubmed.ncbi.nlm.nih.gov/24147502
https://pubmed.ncbi.nlm.nih.gov/24147502
Autor:
Hrishikesh Haldankar, Peter L. Choyke, Sergei V. Fotin, Naira Muradyan, Justin Kunz, Yin Yin, Senthil Periaswamy, François Cornud, Baris Turkbey
Publikováno v:
Medical Imaging: Image Processing
Manual delineation of the prostate is a challenging task for a clinician due to its complex and irregular shape. Furthermore, the need for precisely targeting the prostate boundary continues to grow. Planning for radiation therapy, MR-ultrasound fusi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::150a918160cfc250ccf7143a472820bf
https://doi.org/10.1117/12.911758
https://doi.org/10.1117/12.911758
Autor:
François Cornud, Yin Yin, Sergei V. Fotin, Peter L. Choyke, Hrishikesh Haldankar, Senthil Periaswamy, Baris Turkbey, Naira Muradyan, Justin Kunz
Publikováno v:
Medical Imaging: Image Processing
Fully automated prostate segmentation helps to address several problems in prostate cancer diagnosis and treatment: it can assist in objective evaluation of multiparametric MR imagery, provides a prostate contour for MR-ultrasound (or CT) image fusio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73fdd6d950637b305b674aaa30e5c5f4
https://doi.org/10.1117/12.911620
https://doi.org/10.1117/12.911620
Autor:
Hrishikesh Haldankar, Baris Turkbey, Naira Muradyan, Senthil Periaswamy, Peter L. Choyke, Sergei V. Fotin, Yin Yin, Justin Kunz
Publikováno v:
Medical Imaging: Image Processing
One widely accepted classification of a prostate is by a central gland (CG) and a peripheral zone (PZ). In some clinical applications, separating CG and PZ from the whole prostate is useful. For instance, in prostate cancer detection, radiologist wan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28751b8f0edc99382de05b4916be02c8
https://doi.org/10.1117/12.911778
https://doi.org/10.1117/12.911778