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Cited by in CrossRef
For: Perandini S, Soardi GA, Motton M, Augelli R, Dallaserra C, Puntel G, Rossi A, Sala G, Signorini M, Spezia L, Zamboni F, Montemezzi S. Enhanced characterization of solid solitary pulmonary nodules with Bayesian analysis-based computer-aided diagnosis. World J Radiol 2016; 8(8): 729-734 [PMID: 27648166 DOI: 10.4329/wjr.v8.i8.729]
URL: https://www.wjgnet.com/1949-8470/full/v8/i8/729.htm
Number Citing Articles
1
Jiali Cai, Dongming Xu, Shiyuan Liu, Matthew D. Cham. The Added Value of Computer-aided Detection of Small Pulmonary Nodules and Missed Lung CancersJournal of Thoracic Imaging 2018; 33(6): 390 doi: 10.1097/RTI.0000000000000362
2
Jun Lu, Haitao Tang, Xinguo Yang, Lei Liu, Minxia Pang. Diagnostic value and imaging features of multi-detector CT in lung adenocarcinoma with ground glass nodule patientsOncology Letters 2020; 20(1): 693 doi: 10.3892/ol.2020.11631
3
Yuekai Li, Fengcai Li, Shaoli Han, Jing Ning, Peng Su, Jianfeng Liu, Lili Qu, Shuai Huang, Shiwei Wang, Xin Li, Xiang Li. Performance of 18F-DCFPyL PET/CT in Primary Prostate Cancer Diagnosis, Gleason Grading and D'Amico Classification: A Radiomics-Based StudyPhenomics 2023; 3(6): 576 doi: 10.1007/s43657-023-00108-y
4
Michael C. Kreissl. Comments on Study of “Performance of 18F-DCFPyL PET/CT in Primary Prostate Cancer Diagnosis, Gleason Grading and D'Amico Classification: A Radiomics-Based Study”Phenomics 2023; 3(6): 639 doi: 10.1007/s43657-023-00143-9
5
Fei Kang, Wei Mu, Jie Gong, Shengjun Wang, Guoquan Li, Guiyu Li, Wei Qin, Jie Tian, Jing Wang. Integrating manual diagnosis into radiomics for reducing the false positive rate of 18F-FDG PET/CT diagnosis in patients with suspected lung cancerEuropean Journal of Nuclear Medicine and Molecular Imaging 2019; 46(13): 2770 doi: 10.1007/s00259-019-04418-0
6
Shane M. Summers, Eric J. Chin, Michael D. April, Ronald D. Grisell, Joshua A. Lospinoso, Bijan S. Kheirabadi, Jose Salinas, Lorne H. Blackbourne. Diagnostic accuracy of a novel software technology for detecting pneumothorax in a porcine modelThe American Journal of Emergency Medicine 2017; 35(9): 1285 doi: 10.1016/j.ajem.2017.03.073
7
Margarita Kirienko, Luca Cozzi, Alexia Rossi, Emanuele Voulaz, Lidija Antunovic, Antonella Fogliata, Arturo Chiti, Martina Sollini. Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesionsEuropean Journal of Nuclear Medicine and Molecular Imaging 2018; 45(10): 1649 doi: 10.1007/s00259-018-3987-2
8
Liping Shao, Zubang Zhou, Hongmei Wu, Jinrong Ni, Shulan Li, Zhihan Lv. Modeling of Hidden Markov in Ultrasound Image-Assisted DiagnosisJournal of Healthcare Engineering 2021; 2021: 1 doi: 10.1155/2021/5597591