Ausgabe 4/2020
Inhalt (28 Artikel)
Semantic Segmentation of White Matter in FDG-PET Using Generative Adversarial Network
Kyeong Taek Oh, Sangwon Lee, Haeun Lee, Mijin Yun, Sun K. Yoo
Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades
Zhiwei Zhang, Jingjing Xiao, Shandong Wu, Fajin Lv, Junwei Gong, Lin Jiang, Renqiang Yu, Tianyou Luo
A Weak and Semi-supervised Segmentation Method for Prostate Cancer in TRUS Images
Seokmin Han, Sung Il Hwang, Hak Jong Lee
An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection
Wangxia Zuo, Fuqiang Zhou, Yuzhu He
Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning
Felipe André Zeiser, Cristiano André da Costa, Tiago Zonta, Nuno M. C. Marques, Adriana Vial Roehe, Marcelo Moreno, Rodrigo da Rosa Righi
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules
Jumin Zhao, Chen Zhang, Dengao Li, Jing Niu
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study
Arnaldo Stanzione, Carlo Ricciardi, Renato Cuocolo, Valeria Romeo, Jessica Petrone, Michela Sarnataro, Pier Paolo Mainenti, Giovanni Improta, Filippo De Rosa, Luigi Insabato, Arturo Brunetti, Simone Maurea
Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks
Skander Jemaa, Jill Fredrickson, Richard A. D. Carano, Tina Nielsen, Alex de Crespigny, Thomas Bengtsson
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network
Dipanjan Moitra, Rakesh Kumar Mandal
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification
Hiba Mzoughi, Ines Njeh, Ali Wali, Mohamed Ben Slima, Ahmed BenHamida, Chokri Mhiri, Kharedine Ben Mahfoudhe
Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN)
Emre ÖLMEZ, Volkan AKDOĞAN, Murat KORKMAZ, Orhan ER
Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound
J. N. Stember, K. L. Terilli, E. Perez, M. Megjhani, C. A. Cooper, S. Jambawalikar, S. Park
Predicting the Response to FOLFOX-Based Chemotherapy Regimen from Untreated Liver Metastases on Baseline CT: a Deep Neural Network Approach
Ahmad Maaref, Francisco Perdigon Romero, Emmanuel Montagnon, Milena Cerny, Bich Nguyen, Franck Vandenbroucke, Geneviève Soucy, Simon Turcotte, An Tang, Samuel Kadoury
SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation
Tiejun Yang, Tingting Wu, Lei Li, Chunhua Zhu
Skin Lesion Segmentation with Improved Convolutional Neural Network
Şaban Öztürk, Umut Özkaya
An Efficient Content-Based Image Retrieval System for the Diagnosis of Lung Diseases
Muhammad Kashif, Gulistan Raja, Furqan Shaukat
Framework for Extracting Critical Findings in Radiology Reports
Thusitha Mabotuwana, Christopher S. Hall, Nathan Cross
Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria
Ameena Elahi, Farouk Dako, Jonathan Zember, Bunmi Ojetayo, Dale A. Gerus, Alan Schweitzer, Daniel J. Mollura, Omer Awan
Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology
J. Martijn Nobel, Sander Puts, Frans C. H. Bakers, Simon G. F. Robben, André L. A. J. Dekker
Rapid Design and Development of a Network Isolated DICOM Service Class Provider Device
S. E. Ziegler
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses
Mathias Kaspar, Leon Liman, Maximilian Ertl, Georg Fette, Lea Katharina Seidlmayer, Laura Schreiber, Frank Puppe, Stefan Störk
A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing
Florian Jungmann, G. Arnhold, B. Kämpgen, T. Jorg, C. Düber, P. Mildenberger, R. Kloeckner
Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions
Neeta Kumar, Ruchika Gupta, Sanjay Gupta
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow
Jae Ho Sohn, Yeshwant Reddy Chillakuru, Stanley Lee, Amie Y Lee, Tatiana Kelil, Christopher Paul Hess, Youngho Seo, Thienkhai Vu, Bonnie N Joe
Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education
Lilly Kauffman, Edmund M. Weisberg, John Eng, Elliot K. Fishman
So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful
Lilly Kauffman, Sara Raminpour, Edmund M. Weisberg, Elliot K. Fishman