Journal of Imaging Informatics in Medicine - Special Topics Issue on AI, Deep Learning, and Machine Learning

Read our special issue on AI, Deep Learning, and Machine Learning with Guest Editors Paul Nagy and Ashish Sharma.

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper (this opens in a new tab)

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm (this opens in a new tab)

Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning (this opens in a new tab)

Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks (this opens in a new tab)

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning (this opens in a new tab)

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (this opens in a new tab)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks (this opens in a new tab)

Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network (this opens in a new tab)

Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD (this opens in a new tab)

Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography (this opens in a new tab)

The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method (this opens in a new tab)

Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks (this opens in a new tab)

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning (this opens in a new tab)

Effectiveness of Deep Learning Algorithms to Determine Laterality in Radiographs (this opens in a new tab)

Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model (this opens in a new tab)

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation (this opens in a new tab)