Ausgabe 4/2023
Inhalt (53 Artikel)
Fast and Frictionless: A Novel Approach to Radiology Appointment Scheduling Using a Mobile App and Recommendation Engine
Ankur M. Doshi, Dana Ostrow, August Gresens, Rachel Grimmelmann, Salman Mazhar, Eduardo Neto, Molly Woodriff, Michael Recht
Deep Learning Body Region Classification of MRI and CT Examinations
Philippe Raffy, Jean-François Pambrun, Ashish Kumar, David Dubois, Jay Waldron Patti, Robyn Alexandra Cairns, Ryan Young
A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children
Adarsh Ghosh, Daniella Patton, Saurav Bose, M. Katherine Henry, Minhui Ouyang, Hao Huang, Arastoo Vossough, Raymond Sze, Susan Sotardi, Michael Francavilla
Automatic Classification of Mass Shape and Margin on Mammography with Artificial Intelligence: Deep CNN Versus Radiomics
Longxiu Qi, Xing Lu, Hailin Shen, Qilei Gao, Zhigang Han, Jianguo Zhu, You Meng, Linhua Wang, Shuangqing Chen, Yonggang Li
Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer
Yanhong Chen, Lijun Wang, Xue Dong, Ran Luo, Yaqiong Ge, Huanhuan Liu, Yuzhen Zhang, Dengbin Wang
Enhancing Multi-disease Diagnosis of Chest X-rays with Advanced Deep-learning Networks in Real-world Data
Yuyang Chen, Yiliang Wan, Feng Pan
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh-Ansari, Azin Alizadehasl, Ahmad Bitarafan Rajabi, Isaac Shiri, Habib Zaidi, Mahdi Orooji
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images
Sumeet Menon, Jayalakshmi Mangalagiri, Josh Galita, Michael Morris, Babak Saboury, Yaacov Yesha, Yelena Yesha, Phuong Nguyen, Aryya Gangopadhyay, David Chapman
Evaluation of Image Quality and Detectability of Deep Learning Image Reconstruction (DLIR) Algorithm in Single- and Dual-energy CT
Jingyu Zhong, Hailin Shen, Yong Chen, Yihan Xia, Xiaomeng Shi, Wei Lu, Jianying Li, Yue Xing, Yangfan Hu, Xiang Ge, Defang Ding, Zhenming Jiang, Weiwu Yao
Artificial Intelligence Model Trained with Sparse Data to Detect Facial and Cranial Bone Fractures from Head CT
Huan-Chih Wang, Shao-Chung Wang, Jiun-Lin Yan, Li-Wei Ko
Automating Angle Measurements on Foot Radiographs in Young Children: Feasibility and Performance of a Convolutional Neural Network Model
Daniella Patton, Adarsh Ghosh, Amy Farkas, Susan Sotardi, Michael Francavilla, Shyam Venkatakrishna, Saurav Bose, Minhui Ouyang, Hao Huang, Richard Davidson, Raymond Sze, Jie Nguyen
An Improved Convolution Neural Network and Modified Regularized K-Means-Based Automatic Lung Nodule Detection and Classification
Dhasny Lydia M, Dr. Prakash M
Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision
Yong-Tae Kim, Tae Seok Jeong, Young Jae Kim, Woo Seok Kim, Kwang Gi Kim, Gi Taek Yee
Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images
Dewinda Julianensi Rumala, Peter van Ooijen, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama
Discrimination Between Glioblastoma and Solitary Brain Metastasis Using Conventional MRI and Diffusion-Weighted Imaging Based on a Deep Learning Algorithm
Qingqing Yan, Fuyan Li, Yi Cui, Yong Wang, Xiao Wang, Wenjing Jia, Xinhui Liu, Yuting Li, Huan Chang, Feng Shi, Yuwei Xia, Qing Zhou, Qingshi Zeng
Smart IoT in Breast Cancer Detection Using Optimal Deep Learning
Ramachandro Majji, Om Prakash P. G., R. Rajeswari, Cristin R.
Improving Accuracy of Pneumonia Classification Using Modified DenseNet
Kai Wang, Ping Jiang, Dali Kong, Beibei Sun, Ting Shen
A Robust and Explainable Structure-Based Algorithm for Detecting the Organ Boundary From Ultrasound Multi-Datasets
Tao Peng, Yidong Gu, Ji Zhang, Yan Dong, Gongye DI, Wenjie Wang, Jing Zhao, Jing Cai
A Radiomics Study: Classification of Breast Lesions by Textural Features from Mammography Images
Nishta Letchumanan, Jeannie Hsiu Ding Wong, Li Kuo Tan, Nazimah Ab Mumin, Wei Lin Ng, Wai Yee Chan, Kartini Rahmat
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases
Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Weakly Supervised Breast Lesion Detection in Dynamic Contrast-Enhanced MRI
Rong Sun, Chuanling Wei, Zhuoyun Jiang, Gang Huang, Yuanzhong Xie, Shengdong Nie
A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI
Natália S. Chiari-Correia, Marcello H. Nogueira-Barbosa, Rodolfo Dias Chiari-Correia, Paulo M. Azevedo-Marques
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method
Motonori Nagata, Yasutaka Ichikawa, Kensuke Domae, Kazuya Yoshikawa, Yoshinori Kanii, Akio Yamazaki, Naoki Nagasawa, Masaki Ishida, Hajime Sakuma
Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images
Behnoush Sanaei, Reza Faghihi, Hossein Arabi
Neural Network Based Classification of Breast Cancer Histopathological Image from Intraoperative Rapid Frozen Sections
Jingping Yuan, Wenkang Zhu, Hui Li, Dandan Yan, Shengnan Shen
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks
Dalí F. D. dos Santos, Paulo R. de Faria, Bruno A. N. Travençolo, Marcelo Z. do Nascimento
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images
Shanshan Liang, Jing Zhong, Hongwei Zeng, Peixun Zhong, Saiqun Li, Huijun Liu, Jin Yuan
Glomerulus Detection Using Segmentation Neural Networks
Surender Singh Samant, Arun Chauhan, Jagadish DN, Vijay Singh
Artificial Intelligence-driven Digital Cytology-based Cervical Cancer Screening: Is the Time Ripe to Adopt This Disruptive Technology in Resource-constrained Settings? A Literature Review
Ruchika Gupta, Neeta Kumar, Shivani Bansal, Sompal Singh, Neelam Sood, Sanjay Gupta
DeepBLS: Deep Feature-Based Broad Learning System for Tissue Phenotyping in Colorectal Cancer WSIs
Ahsan Baidar Bakht, Sajid Javed, Syed Qasim Gilani, Hamad Karki, Muhammad Muneeb, Naoufel Werghi
Multispectral Imaging Method for Rapid Identification and Analysis of Paraffin-Embedded Pathological Tissues
Ouafa Sijilmassi, José-Manuel López Alonso, Aurora Del Río Sevilla, María del Carmen Barrio Asensio
Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction
Mehmet Erten, Ilknur Tuncer, Prabal D. Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru-San Tan, Hamido Fujita, U. Rajendra Acharya
A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning
Xu Xu, Congsheng Li, Xingjie Lan, Xianjun Fan, Xing Lv, Xin Ye, Tongning Wu
Skin Lesion Segmentation in Dermoscopic Images with Noisy Data
Norsang Lama, Jason Hagerty, Anand Nambisan, Ronald Joe Stanley, William Van Stoecker
An Integrated Ensemble Network Model for Skin Abnormality Detection with Combined Textural Features
Misaj Sharafudeen, Vinod Chandra S S
Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network
Mohammed Oulhadj, Jamal Riffi, Chaimae Khodriss, Adnane Mohamed Mahraz, Ahmed Bennis, Ali Yahyaouy, Fouad Chraibi, Meriem Abdellaoui, Idriss Benatiya Andaloussi, Hamid Tairi
The Keratectasia Volume (KEV) in Corneal Topography to Evaluate the Effect of Corneal Collagen Cross-linking in Pediatric Keratoconus
Xiangjun Wang, Bo Zhang, Zhiwei Li, Mengyao Li, Jia Wang, Guoying Mu
An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks
Keewon Shin, Jung Su Lee, Ji Young Lee, Hyunsu Lee, Jeongseok Kim, Jeong-Sik Byeon, Hwoon-Yong Jung, Do Hoon Kim, Namkug Kim
Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study
Harrison C. Gottlich, Adriana V. Gregory, Vidit Sharma, Abhinav Khanna, Amr U. Moustafa, Christine M. Lohse, Theodora A. Potretzke, Panagiotis Korfiatis, Aaron M. Potretzke, Aleksandar Denic, Andrew D. Rule, Naoki Takahashi, Bradley J. Erickson, Bradley C. Leibovich, Timothy L. Kline
An Effective Approach to Improve the Automatic Segmentation and Classification Accuracy of Brain Metastasis by Combining Multi-phase Delay Enhanced MR Images
Mingming Chen, Yujie Guo, Pengcheng Wang, Qi Chen, Lu Bai, Shaobin Wang, Ya Su, Lizhen Wang, Guanzhong Gong
Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss
Yang Jiang, Shuang Zhang, Jianning Chi
Multi-Scale Feature Fusion Network for Low-Dose CT Denoising
Zhiyuan Li, Yi Liu, Huazhong Shu, Jing Lu, Jiaqi Kang, Yang Chen, Zhiguo Gui
Lossy Image Compression in a Preclinical Multimodal Imaging Study
Francisco F. Cunha, Valentin Blüml, Lydia M. Zopf, Andreas Walter, Michael Wagner, Wolfgang J. Weninger, Lucas A. Thomaz, Luís M. N. Tavora, Luis A. da Silva Cruz, Sergio M. M. Faria
RTFusion: A Multimodal Fusion Network with Significant Information Enhancement
Chao Fan, Zhixiang Chen, Xiao Wang, Zhihui Xuan, Zhentong Zhu
Evaluation of Semiautomatic and Deep Learning–Based Fully Automatic Segmentation Methods on [18F]FDG PET/CT Images from Patients with Lymphoma: Influence on Tumor Characterization
Cláudia S. Constantino, Sónia Leocádio, Francisco P. M. Oliveira, Mariana Silva, Carla Oliveira, Joana C. Castanheira, Ângelo Silva, Sofia Vaz, Ricardo Teixeira, Manuel Neves, Paulo Lúcio, Cristina João, Durval C. Costa
Pilot Lightweight Denoising Algorithm for Multiple Sclerosis on Spine MRI
John D. Mayfield, Katie Bailey, Andrew A. Borkowski, Narayan Viswanadhan
Carimas: An Extensive Medical Imaging Data Processing Tool for Research
Oona Rainio, Chunlei Han, Jarmo Teuho, Sergey V. Nesterov, Vesa Oikonen, Sauli Piirola, Timo Laitinen, Marko Tättäläinen, Juhani Knuuti, Riku Klén
Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising
Huan Wang, Jianning Chi, Chengdong Wu, Xiaosheng Yu, Hao Wu
Comparison Between the Stereoscopic Virtual Reality Display System and Conventional Computed Tomography Workstation in the Diagnosis and Characterization of Cerebral Arteriovenous Malformations
Xiujuan Liu, Jun Mao, Ning Sun, Xiangrong Yu, Lei Chai, Ye Tian, Jianming Wang, Jianchao Liang, Haiquan Tao, Zhishun Wang, Ligong Lu
A Pilot Human Cadaveric Study on Accuracy of the Augmented Reality Surgical Navigation System for Thoracolumbar Pedicle Screw Insertion Using a New Intraoperative Rapid Registration Method
Bing Cao, Bo Yuan, Guofeng Xu, Yin Zhao, Yanqing Sun, Zhiwei Wang, Shengyuan Zhou, Zheng Xu, Yao Wang, Xiongsheng Chen
Views on Augmented Reality, Virtual Reality, and 3D Printing in Modern Medicine and Education: A Qualitative Exploration of Expert Opinion
Julie Urlings, Guido de Jong, Thomas Maal, Dylan Henssen