These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
120 related articles for article (PubMed ID: 38615586)
1. Deep learning for the automatic detection and segmentation of parotid gland tumors on MRI. Zhang R; Wong LM; So TY; Cai Z; Deng Q; Tsang YM; Ai QYH; King AD Oral Oncol; 2024 May; 152():106796. PubMed ID: 38615586 [TBL] [Abstract][Full Text] [Related]
2. Classification of parotid gland tumors by using multimodal MRI and deep learning. Chang YJ; Huang TY; Liu YJ; Chung HW; Juan CJ NMR Biomed; 2021 Jan; 34(1):e4408. PubMed ID: 32886955 [TBL] [Abstract][Full Text] [Related]
3. Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study. Ye Q; Yang H; Lin B; Wang M; Song L; Xie Z; Lu Z; Feng Q; Zhao Y Eur Radiol; 2024 Jul; 34(7):4287-4299. PubMed ID: 38127073 [TBL] [Abstract][Full Text] [Related]
5. Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI. Yabuuchi H; Kamitani T; Sagiyama K; Yamasaki Y; Hida T; Matsuura Y; Hino T; Murayama Y; Yasumatsu R; Yamamoto H Eur Radiol; 2020 Dec; 30(12):6402-6412. PubMed ID: 32613285 [TBL] [Abstract][Full Text] [Related]
6. Benign vs malignant vertebral compression fractures with MRI: a comparison between automatic deep learning network and radiologist's assessment. Liu B; Jin Y; Feng S; Yu H; Zhang Y; Li Y Eur Radiol; 2023 Jul; 33(7):5060-5068. PubMed ID: 37162531 [TBL] [Abstract][Full Text] [Related]
7. Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors. Gündüz E; Alçin ÖF; Kizilay A; Piazza C Curr Opin Otolaryngol Head Neck Surg; 2022 Apr; 30(2):107-113. PubMed ID: 34907957 [TBL] [Abstract][Full Text] [Related]
8. Parotid Gland Segmentation Using Purely Transformer-Based U-Shaped Network and Multimodal MRI. Xu Z; Dai Y; Liu F; Li S; Liu S; Shi L; Fu J Ann Biomed Eng; 2024 Aug; 52(8):2101-2117. PubMed ID: 38691234 [TBL] [Abstract][Full Text] [Related]
9. Deep learning-assisted diagnosis of parotid gland tumors by using contrast-enhanced CT imaging. Shen XM; Mao L; Yang ZY; Chai ZK; Sun TG; Xu Y; Sun ZJ Oral Dis; 2023 Nov; 29(8):3325-3336. PubMed ID: 36520552 [TBL] [Abstract][Full Text] [Related]
11. Automatic segmentation of hepatocellular carcinoma on dynamic contrast-enhanced MRI based on deep learning. Luo X; Li P; Chen H; Zhou K; Piao S; Yang L; Hu B; Geng D Phys Med Biol; 2024 Mar; 69(6):. PubMed ID: 38330492 [No Abstract] [Full Text] [Related]
12. Segmentation of parotid glands from registered CT and MR images. Močnik D; Ibragimov B; Xing L; Strojan P; Likar B; Pernuš F; Vrtovec T Phys Med; 2018 Aug; 52():33-41. PubMed ID: 30139607 [TBL] [Abstract][Full Text] [Related]
13. MRI-based automatic identification and segmentation of extrahepatic cholangiocarcinoma using deep learning network. Yang C; Zhou Q; Li M; Xu L; Zeng Y; Liu J; Wei Y; Shi F; Chen J; Li P; Shu Y; Yang L; Shu J BMC Cancer; 2023 Nov; 23(1):1089. PubMed ID: 37950207 [TBL] [Abstract][Full Text] [Related]
14. [Value of magnetic resonance imaging in displaying the parotid gland segments of the facial nerve]. Du LX; Yuan JP; Xu HJ; Du HF; Liang BL Nan Fang Yi Ke Da Xue Xue Bao; 2010 Jul; 30(7):1639-41. PubMed ID: 20650789 [TBL] [Abstract][Full Text] [Related]
15. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging. Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555 [TBL] [Abstract][Full Text] [Related]
16. Deep learning model developed by multiparametric MRI in differential diagnosis of parotid gland tumors. Gunduz E; Alçin OF; Kizilay A; Yildirim IO Eur Arch Otorhinolaryngol; 2022 Nov; 279(11):5389-5399. PubMed ID: 35596805 [TBL] [Abstract][Full Text] [Related]
17. Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis? Vernuccio F; Arnone F; Cannella R; Verro B; Comelli A; Agnello F; Stefano A; Gargano R; Rodolico V; Salvaggio G; Lagalla R; Midiri M; Lo Casto A Br J Radiol; 2021 Dec; 94(1128):20210340. PubMed ID: 34591597 [TBL] [Abstract][Full Text] [Related]
18. The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area. Deng Y; Li C; Lv X; Xia W; Shen L; Jing B; Li B; Guo X; Sun Y; Xie C; Ke L Comput Methods Programs Biomed; 2022 Apr; 217():106702. PubMed ID: 35228147 [TBL] [Abstract][Full Text] [Related]
19. Differentiating parotid tumors by quantitative signal intensity evaluation on MR imaging. Matsusue E; Fujihara Y; Matsuda E; Tokuyasu Y; Nakamoto S; Nakamura K; Ogawa T Clin Imaging; 2017; 46():37-43. PubMed ID: 28704680 [TBL] [Abstract][Full Text] [Related]
20. Swin MoCo: Improving parotid gland MRI segmentation using contrastive learning. Xu Z; Dai Y; Liu F; Wu B; Chen W; Shi L Med Phys; 2024 Aug; 51(8):5295-5307. PubMed ID: 38749016 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]