Applying Deep Learning in Medical Images: The Case of Bone Age Estimation
Jang Hyung Lee, Kwang Gi Kim
Healthc Inform Res. 2018;24(1):86-92. Published online 2018 Jan 31 DOI: https://doi.org/10.4258/hir.2018.24.1.86
|
Citations to this article as recorded by
An intelligent bone age assessment model incorporating multilayer superimposed texture enhancement and the China-05 attention mechanism
Guo Zisheng, Wang Xinhua, Yang Lin, Yang Xuyun, Qi Yongsheng, Zhao Zeling
Biomedical Signal Processing and Control.2025; 99: 106852. CrossRef A fully automated U-net based ROIs localization and bone age assessment method
Yuzhong Zhao, Yihao Wang, Haolei Yuan, Weiwei Xie, Qiaoqiao Ding, Xiaoqun Zhang
Mathematical Biosciences and Engineering.2025; 22(1): 138. CrossRef The feasibility of age estimation based on MRI and radiographs of the knee joint in the Chinese population of Han nationality
Lei Wan, Hongxia Hao, Yahui Wang, Maowen Wang, Fengxiang Song, Yuxin Shi, Wentao Xia, Zhiyong Zhang
Australian Journal of Forensic Sciences.2024; 56(3): 242. CrossRef Identifying and training deep learning neural networks on biomedical-related datasets
Alan E Woessner, Usman Anjum, Hadi Salman, Jacob Lear, Jeffrey T Turner, Ross Campbell, Laura Beaudry, Justin Zhan, Lawrence E Cornett, Susan Gauch, Kyle P Quinn
Briefings in Bioinformatics.2024;[Epub] CrossRef A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Davide Carnevali, Limei Zhong, Esther González-Almela, Carlotta Viana, Mikhail Rotkevich, Aiping Wang, Daniel Franco-Barranco, Aitor Gonzalez-Marfil, Maria Victoria Neguembor, Alvaro Castells-Garcia, Ignacio Arganda-Carreras, Maria Pia Cosma
Nature Machine Intelligence.2024; 6(9): 1021. CrossRef Semi-automated technique to assess the developmental stage of mandibular third molars for age estimation
Witsarut Upalananda, Kittichai Wantanajittikul, Sakarat Na Lampang, Apirum Janhom
Australian Journal of Forensic Sciences.2023; 55(1): 23. CrossRef Improving prediction of skeletal growth problems for age evaluation using hand X-rays
Hina Farooq, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Riccardo Distasi
Multimedia Tools and Applications.2023; 83(33): 80027. CrossRef Skeletal age evaluation using hand X-rays to determine growth problems
Muhammad Umer, Ala’ Abdulmajid Eshmawi, Khaled Alnowaiser, Abdullah Mohamed, Huda Alrashidi, Imran Ashraf
PeerJ Computer Science.2023; 9: e1512. CrossRef A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
Babita Pandey, Devendra Kumar Pandey, Brijendra Pratap Mishra, Wasiur Rhmann
Journal of King Saud University - Computer and Information Sciences.2022; 34(8): 5083. CrossRef Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
Simukayi Mutasa, Paul H. Yi
Skeletal Radiology.2022; 51(2): 271. CrossRef An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity
Shuqiang Wang, Xiangyu Wang, Yanyan Shen, Bing He, Xinyan Zhao, Prudence Wing-Hang Cheung, Jason Pui Yin Cheung, Keith Dip-Kei Luk, Yong Hu
IEEE Transactions on Systems, Man, and Cybernetics: Systems.2022; 52(1): 426. CrossRef Privacy-Preserving Object Detection for Medical Images With Faster R-CNN
Yang Liu, Zhuo Ma, Ximeng Liu, Siqi Ma, Kui Ren
IEEE Transactions on Information Forensics and Security.2022; 17: 69. CrossRef Aux-MVNet: Auxiliary Classifier-Based Multi-View Convolutional Neural Network for Maxillary Sinusitis Diagnosis on Paranasal Sinuses View
Sang-Heon Lim, Jong Hoon Kim, Young Jae Kim, Min Young Cho, Jin Uk Jung, Ryun Ha, Joo Hyun Jung, Seon Tae Kim, Kwang Gi Kim
Diagnostics.2022; 12(3): 736. CrossRef RAGCN: Region Aggregation Graph Convolutional Network for Bone Age Assessment From X-Ray Images
Xiang Li, Yuchen Jiang, Yiliu Liu, Jiusi Zhang, Shen Yin, Hao Luo
IEEE Transactions on Instrumentation and Measurement.2022; 71: 1. CrossRef Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network
Yang Jia, Xinmeng Zhang, Hanrong Du, Weiguang Chen, Xiaohui Jin, Wei Qi, Bin Yang, Qiujuan Zhang, Zhi Wei
EURASIP Journal on Image and Video Processing.2022;[Epub] CrossRef Metaheuristic with Deep Learning Enabled Biomedical Bone Age Assessment and Classification Model
Mesfer Al Duhayyim, Areej A. Malibari, Marwa Obayya, Mohamed K. Nour, Ahmed S. Salama, Mohamed I. Eldesouki, Abu Sarwar Zamani, Mohammed Rizwanullah
Computers, Materials & Continua.2022; 73(3): 5473. CrossRef Age-dependent decrease in dental pulp cavity volume as a feature for age assessment: a comparative in vitro study using 9.4-T UTE-MRI and CBCT 3D imaging
Maximilian Timme, Jens Borkert, Nina Nagelmann, Adam Streeter, André Karch, Andreas Schmeling
International Journal of Legal Medicine.2021; 135(4): 1599. CrossRef Introduction to deep learning: minimum essence required to launch a research
Tomohiro Wataya, Katsuyuki Nakanishi, Yuki Suzuki, Shoji Kido, Noriyuki Tomiyama
Japanese Journal of Radiology.2020; 38(10): 907. CrossRef A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification
Pablo Mesejo, Rubén Martos, Óscar Ibáñez, Jorge Novo, Marcos Ortega
Applied Sciences.2020; 10(14): 4703. CrossRef Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions
Muhammad Waqas Nadeem, Hock Guan Goh, Abid Ali, Muzammil Hussain, Muhammad Adnan Khan, Vasaki a/p Ponnusamy
Diagnostics.2020; 10(10): 781. CrossRef
|