Works matching IS 08971889 AND DT 2019 AND VI 32 AND IP 4

Results: 16

Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 565, doi. 10.1007/s10278-019-00244-w

By:

Yi, Paul H.;
Lin, Abigail;
Wei, Jinchi;
Yu, Alice C.;
Sair, Haris I.;
Hui, Ferdinand K.;
Hager, Gregory D.;
Harvey, Susan C.

Publication type:

Article

Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 644, doi. 10.1007/s10278-019-00242-y

By:

Filice, Ross

Publication type:

Article

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 544, doi. 10.1007/s10278-019-00237-9

By:

Bozkurt, Selen;
Alkim, Emel;
Banerjee, Imon;
Rubin, Daniel L.

Publication type:

Article

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 535, doi. 10.1007/s10278-019-00236-w

By:

Primo, Henri;
Bishop, Matthew;
Lannum, Louis;
Cram, Dawn;
Nader, Abe;
Boodoo, Roger

Publication type:

Article

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 554, doi. 10.1007/s10278-019-00234-y

By:

Steinkamp, Jackson M.;
Chambers, Charles;
Lalevic, Darco;
Zafar, Hanna M.;
Cook, Tessa S.

Publication type:

Article

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 571, doi. 10.1007/s10278-019-00232-0

By:

Philbrick, Kenneth A.;
Weston, Alexander D.;
Akkus, Zeynettin;
Kline, Timothy L.;
Korfiatis, Panagiotis;
Sakinis, Tomas;
Kostandy, Petro;
Boonrod, Arunnit;
Zeinoddini, Atefeh;
Takahashi, Naoki;
Erickson, Bradley J.

Publication type:

Article

The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 638, doi. 10.1007/s10278-019-00230-2

By:

Han, Seokmin;
Hwang, Sung Il;
Lee, Hak Jong

Publication type:

Article

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 651, doi. 10.1007/s10278-019-00229-9

By:

Singh, Varun;
Danda, Varun;
Gorniak, Richard;
Flanders, Adam;
Lakhani, Paras

Publication type:

Article

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 582, doi. 10.1007/s10278-019-00227-x

By:

Hesamian, Mohammad Hesam;
Jia, Wenjing;
He, Xiangjian;
Kennedy, Paul

Publication type:

Article

Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 665, doi. 10.1007/s10278-018-0148-x

By:

Yune, Sehyo;
Lee, Hyunkwang;
Kim, Myeongchan;
Tajmir, Shahein H.;
Gee, Michael S.;
Do, Synho

Publication type:

Article

Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 656, doi. 10.1007/s10278-019-00226-y

By:

Filice, Ross W.;
Frantz, Shelby K.

Publication type:

Article

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 597, doi. 10.1007/s10278-019-00220-4

By:

Stember, J. N.;
Celik, H.;
Krupinski, E.;
Chang, P. D.;
Mutasa, S.;
Wood, B. J.;
Lignelli, A.;
Moonis, G.;
Schwartz, L. H.;
Jambawalikar, S.;
Bagci, U.

Publication type:

Article

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 672, doi. 10.1007/s10278-018-0167-7

By:

Kitamura, Gene;
Chung, Chul Y.;
Moore II, Barry E.

Publication type:

Article

Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 625, doi. 10.1007/s10278-019-00192-5

By:

Watanabe, Alyssa T.;
Lim, Vivian;
Vu, Hoanh X.;
Chim, Richard;
Weise, Eric;
Liu, Jenna;
Bradley, William G.;
Comstock, Christopher E.

Publication type:

Article

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 605, doi. 10.1007/s10278-019-00182-7

By:

Alom, Md Zahangir;
Yakopcic, Chris;
Nasrin, Mst. Shamima;
Taha, Tarek M.;
Asari, Vijayan K.

Publication type:

Article

Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD.

Published in:

Journal of Digital Imaging, 2019, v. 32, n. 4, p. 618, doi. 10.1007/s10278-018-0168-6

By:

Mayo, Ray Cody;
Kent, Daniel;
Sen, Lauren Chang;
Kapoor, Megha;
Leung, Jessica W. T.;
Watanabe, Alyssa T.

Publication type:

Article