Výsledky vyhledávání - "Sergei V. Fotin"

Detection of soft tissue densities from digital breast tomosynthesis: comparison of conventional and deep learning approaches

Autor: Senthil Periaswamy, Sergei V. Fotin, Yin Yin, Jeffrey W. Hoffmeister, 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

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Workflow improvements for digital breast tomosynthesis: computerized generation of enhanced synthetic images

Autor: Hrishikesh Haldankar, Sergei V. Fotin, Senthil Periaswamy, Jeffrey W. Hoffmeister, Yin Yin

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

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Fully automated prostate segmentation on MRI: comparison with manual segmentation methods and specimen volumes

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

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Fully automated prostate segmentation in 3D MR based on normalized gradient fields cross-correlation initialization and LOGISMOS refinement

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

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Normalized gradient fields cross-correlation for automated detection of prostate in magnetic resonance images

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

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Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach

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

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Standard moments based vessel bifurcation filter for computer-aided detection of pulmonary nodules

Autor: Alberto Biancardi, Claudia I. Henschke, David F. Yankelevitz, Sergei V. Fotin, Anthony P. Reeves

Publikováno v: Medical Imaging: Computer-Aided Diagnosis

This work describes a method that can discriminate between a solid pulmonary nodule and a pulmonary vessel bifurcation point at a given candidate location on a CT scan using the method of standard moments. The algorithm starts with the estimation of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3477d77c0d394eca33da75d4c259cbfb
https://doi.org/10.1117/12.844516

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A public image database to support research in computer aided diagnosis

Autor: Sergei V. Fotin, Anthony P. Reeves, Brad M. Keller, Alberto Biancardi, James Weifu Lee, David F. Yankelevitz, Artit C. Jirapatnakul

Publikováno v: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2009

The Public Lung Database to address drug response (PLD) has been developed to support research in computer aided diagnosis (CAD). Originally established for applications involving the characterization of pulmonary nodules, the PLD has been augmented

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f29a345dbeaf865c9cfc27a74019492
https://pubmed.ncbi.nlm.nih.gov/19965010

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Automated nodule location and size estimation using a multi-scale laplacian of Gaussian filtering approach

Autor: Artit C. Jirapatnakul, Alberto Biancardi, David F. Yankelevitz, Sergei V. Fotin, Claudia I. Henschke, Anthony P. Reeves

Publikováno v: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Estimation of nodule location and size is an important pre-processing step in some nodule segmentation algorithms to determine the size and location of the region of interest. Ideally, such estimation methods will consistently find the same nodule lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c9fd65ae033f4171bc56efd0c57d786
https://doi.org/10.1109/iembs.2009.5334683

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