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Zeitschrift

Journal of Digital Imaging

Journal of Digital Imaging 4/2019

Ausgabe 4/2019

Special Topics Issue on AI, Deep Learning, and Machine Learning. Guest Editors: Paul Nagy and Ashish Sharma

Inhaltsverzeichnis ( 16 Artikel )

08.06.2019 | Original Paper | Ausgabe 4/2019 Open Access

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

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

20.06.2019 | Original Paper | Ausgabe 4/2019 Open Access

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

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

19.06.2019 | Ausgabe 4/2019 Open Access

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning

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

13.06.2019 | Original Paper | Ausgabe 4/2019 Open Access

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

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

14.05.2019 | Ausgabe 4/2019 Open Access

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

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

29.05.2019 | Ausgabe 4/2019 Open Access

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

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

01.05.2019 | Ausgabe 4/2019 Open Access

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

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

12.02.2019 | Ausgabe 4/2019

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

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

08.04.2019 | Ausgabe 4/2019 Open Access

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

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

22.04.2019 | Ausgabe 4/2019 Open Access

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

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

16.05.2019 | Ausgabe 4/2019 Open Access

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

Seokmin Han, Sung Il Hwang, Hak Jong Lee

20.06.2019 | Original Paper | Ausgabe 4/2019 Open Access

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

Ross Filice

09.05.2019 | Ausgabe 4/2019 Open Access

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning

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

07.05.2019 | Ausgabe 4/2019 Open Access

Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs

Ross W. Filice, Shelby K. Frantz

26.11.2018 | Ausgabe 4/2019 Open Access

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

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

18.04.2019 | Ausgabe 4/2019 Open Access

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

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

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