نتایج جستجو برای: rads

تعداد نتایج: 1972  

2017
Michael Spektor Mahan Mathur Jeffrey C. Weinreb

Prostate cancer (PCa) remains a leading cause of death in the United States, but the vast majority of men diagnosed with PCa will die from other causes. While historically the capability of assessing the risk of life-threatening versus indolent PCa has relied heavily on serum prostate-specific antigen (PSA) and transrectal ultrasound (TRUS), multiparametric magnetic resonance imaging (mpMRI) ha...

Journal: :Studies in health technology and informatics 2014
Selen Bozkurt Daniel Rubin

An unsolved challenge in biomedical natural language processing (NLP) is detecting ambiguities in the reports that can help physicians to improve report clarity. Our goal was to develop NLP methods to tackle the challenges of identifying ambiguous descriptions of the laterality of BI-RADS Final Assessment Categories in mammography radiology reports. We developed a text processing system that us...

2006
Izzati Muhimmah Arnau Oliver Erika R. E. Denton Josep Pont Elsa Pérez Reyer Zwiggelaar

Mammographic risk assessment provides an indication of the likelihood of women developing breast cancer. Anumber ofmammographic image based classification methods have been developed, such as Wolfe, Boyd, BI-RADS and Tabár based assessment. We provide a comparative study of these four approaches. Results on the full MIAS database are presented, which indicate strong correlation (Spearman’s > 0....

2012
Imrana Masroor Muhammad Azeemuddin Saima Sakhawat Madiha Beg Saba Sohail Rashid Ahmed Irfan-Ul-Haq Javed Mehboob

BACKGROUND The purpose of this study was to evaluate mammography reports for diagnosed breast cancer cases in major government and private centers in Karachi, Pakistan, with respect to concordance with the Breast Imaging Reports And Data System (BI-RADS(®)) lexicon. METHODS A prospective, descriptive, multicenter study was conducted in the radiology sections of the Aga Khan University Hospita...

Journal: :Aerospace medicine 1970
J W Thorp R L Chaput R T Kovacic

Thirty-two miniature pigs were trained by shock avoidance conditioning to traverse a two-chambered shuttlebox. Eight unshielded pigs (whole-body exposed) received midline tissue doses (MTD) of about 13, 000 rads of pulsed, mixed gammaneutron radlations to the head and trunk. Eight head-shielded and eight trunkshielded pigs received doses to the unsh!eldcd part of the body that were equivalent t...

2014
Nicolas Terrapon Andrew D. Moore Erich Bornberg-Bauer

The analysis of protein domains has gained considerable attention over the last years. Many new insights on protein modular evolution, combined with improved domain detection, have paved the way for an integrated analysis of protein families from a domain-centric perspective. We recently released DoMosaics, a JAVA application that facilitates the interactive analysis of protein domain arrangeme...

2014
Guiyun Sohn Jong Won Lee Sung Won Park Jihoon Park Jiyoung Woo Hwa Jung Kim Hee Jung Shin Hak Hee Kim Kyung Hae Jung Joohon Sung Seung Wook Lee Byung Ho Son Sei-Hyun Ahn

PURPOSE The reliability of the quantitative measurement of breast density with a semi-automated thresholding method (Cumulus™) has mainly been investigated with film mammograms. This study aimed to evaluate the intrarater reproducibility of percent density (PD) by Cumulus™ with digital mammograms. METHODS This study included 1,496 craniocaudal digital mammograms from the unaffected breast of ...

2015
Daniëlle van der Waal Gerard J. den Heeten Ruud M. Pijnappel Klaas H. Schuur Johanna M. H. Timmers André L. M. Verbeek Mireille J. M. Broeders Eugenio Paci

INTRODUCTION The objective of this study is to compare different methods for measuring breast density, both visual assessments and automated volumetric density, in a breast cancer screening setting. These measures could potentially be implemented in future screening programmes, in the context of personalised screening or screening evaluation. MATERIALS AND METHODS Digital mammographic exams (...

2011
Noelia Vállez Gloria Bueno García Oscar Déniz-Suárez José Antonio Seoane Fernández Julian Dorado Alejandro Pazos

Tables show the results of the classifiers for the SFM and the FFDM datasets using a 10-fold crossvalidation and the complete dataset, with 20 features selected by the inter/intra cluster criteria and with 20 features of the PCA. Noelia Vállez1,2, Gloria Bueno1, Oscar Déniz-Suárez1, José A. Seoane2, Julián Dorado2, and Alejandro Pazos2 1 VISILAB, E.T.S.I.I, Universidad de Castilla-La Mancha, Sp...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید