Volume 32, Issue 4

Search all Journal of Imaging Informatics in Medicine articles

August 2019

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

16 articles in this issue

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper
Henri Primo
Matthew Bishop
Roger Boodoo
Original Paper Open access 08 June 2019 Pages: 535 - 543
Part of 1 collection:

HIMSS-SIIM Enterprise Imaging Community (HSEIC) White Papers - A Decade of Collaboration
Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm
Selen Bozkurt
Emel Alkim
Daniel L. Rubin
Original Paper Open access 20 June 2019 Pages: 544 - 553
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning
Jackson M. Steinkamp
Charles Chambers
Tessa S. Cook
OriginalPaper Open access 19 June 2019 Pages: 554 - 564
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks
Paul H. Yi
Abigail Lin
Susan C. Harvey
Original Paper Open access 13 June 2019 Pages: 565 - 570
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
Kenneth A. Philbrick
Alexander D. Weston
Bradley J. Erickson
OriginalPaper Open access 14 May 2019 Pages: 571 - 581
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
Mohammad Hesam Hesamian
Wenjing Jia
Paul Kennedy
OriginalPaper Open access 29 May 2019 Pages: 582 - 596
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
J. N. Stember
H. Celik
U. Bagci
OriginalPaper Open access 01 May 2019 Pages: 597 - 604
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Md Zahangir Alom
Chris Yakopcic
Vijayan K. Asari
OriginalPaper 12 February 2019 Pages: 605 - 617
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD
Ray Cody Mayo
Daniel Kent
Alyssa T. Watanabe
OriginalPaper Open access 08 April 2019 Pages: 618 - 624
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography
Alyssa T. Watanabe
Vivian Lim
Christopher E. Comstock
OriginalPaper Open access 22 April 2019 Pages: 625 - 637
The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method
Seokmin Han
Sung Il Hwang
Hak Jong Lee
OriginalPaper Open access 16 May 2019 Pages: 638 - 643
Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks
Ross Filice
Original Paper Open access 20 June 2019 Pages: 644 - 650
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning
Varun Singh
Varun Danda
Paras Lakhani
OriginalPaper Open access 09 May 2019 Pages: 651 - 655
Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs
Ross W. Filice
Shelby K. Frantz
OriginalPaper Open access 07 May 2019 Pages: 656 - 664
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model
Sehyo Yune
Hyunkwang Lee
Synho Do
OriginalPaper Open access 26 November 2018 Pages: 665 - 671
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
OriginalPaper Open access 18 April 2019 Pages: 672 - 677

Volume 32, Issue 4

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

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

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning

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

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

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks

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

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

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

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

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

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning

Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs

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

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

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