167 related articles for article (PubMed ID: 32681268)
1. Deep learning for differentiation of benign and malignant solid liver lesions on ultrasonography.
Xi IL; Wu J; Guan J; Zhang PJ; Horii SC; Soulen MC; Zhang Z; Bai HX
Abdom Radiol (NY); 2021 Feb; 46(2):534-543. PubMed ID: 32681268
[TBL] [Abstract][Full Text] [Related]
2. Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study.
Yang Y; Cairang Y; Jiang T; Zhou J; Zhang L; Qi B; Ma S; Tang L; Xu D; Bu L; Bu R; Jing X; Wang H; Zhou Z; Zhao C; Luo B; Liu L; Guo J; Nima Y; Hua G; Wa Z; Zhang Y; Zhou G; Jiang W; Wang C; De Y; Yu X; Cheng Z; Han Z; Liu F; Dou J; Feng H; Wu C; Wang R; Hu J; Yang Q; Luo Y; Wu J; Fan H; Liang P; Yu J
Lancet Digit Health; 2023 Aug; 5(8):e503-e514. PubMed ID: 37507196
[TBL] [Abstract][Full Text] [Related]
3. Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Xi IL; Zhao Y; Wang R; Chang M; Purkayastha S; Chang K; Huang RY; Silva AC; Vallières M; Habibollahi P; Fan Y; Zou B; Gade TP; Zhang PJ; Soulen MC; Zhang Z; Bai HX; Stavropoulos SW
Clin Cancer Res; 2020 Apr; 26(8):1944-1952. PubMed ID: 31937619
[TBL] [Abstract][Full Text] [Related]
4. Ultrasound image analysis using deep neural networks for discriminating between benign and malignant ovarian tumors: comparison with expert subjective assessment.
Christiansen F; Epstein EL; Smedberg E; Åkerlund M; Smith K; Epstein E
Ultrasound Obstet Gynecol; 2021 Jan; 57(1):155-163. PubMed ID: 33142359
[TBL] [Abstract][Full Text] [Related]
5. Distinguishing benign and malignant lesions on contrast-enhanced breast cone-beam CT with deep learning neural architecture search.
Ma J; He N; Yoon JH; Ha R; Li J; Ma W; Meng T; Lu L; Schwartz LH; Wu Y; Ye Z; Wu P; Zhao B; Xie C
Eur J Radiol; 2021 Sep; 142():109878. PubMed ID: 34388626
[TBL] [Abstract][Full Text] [Related]
6. Diagnosis of focal liver lesions from ultrasound using deep learning.
Schmauch B; Herent P; Jehanno P; Dehaene O; Saillard C; Aubé C; Luciani A; Lassau N; Jégou S
Diagn Interv Imaging; 2019 Apr; 100(4):227-233. PubMed ID: 30926443
[TBL] [Abstract][Full Text] [Related]
7. Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study.
Yang Q; Wei J; Hao X; Kong D; Yu X; Jiang T; Xi J; Cai W; Luo Y; Jing X; Yang Y; Cheng Z; Wu J; Zhang H; Liao J; Zhou P; Song Y; Zhang Y; Han Z; Cheng W; Tang L; Liu F; Dou J; Zheng R; Yu J; Tian J; Liang P
EBioMedicine; 2020 Jun; 56():102777. PubMed ID: 32485640
[TBL] [Abstract][Full Text] [Related]
8. Artificial intelligence assists identifying malignant versus benign liver lesions using contrast-enhanced ultrasound.
Hu HT; Wang W; Chen LD; Ruan SM; Chen SL; Li X; Lu MD; Xie XY; Kuang M
J Gastroenterol Hepatol; 2021 Oct; 36(10):2875-2883. PubMed ID: 33880797
[TBL] [Abstract][Full Text] [Related]
9. Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
Gao Y; Zeng S; Xu X; Li H; Yao S; Song K; Li X; Chen L; Tang J; Xing H; Yu Z; Zhang Q; Zeng S; Yi C; Xie H; Xiong X; Cai G; Wang Z; Wu Y; Chi J; Jiao X; Qin Y; Mao X; Chen Y; Jin X; Mo Q; Chen P; Huang Y; Shi Y; Wang J; Zhou Y; Ding S; Zhu S; Liu X; Dong X; Cheng L; Zhu L; Cheng H; Cha L; Hao Y; Jin C; Zhang L; Zhou P; Sun M; Xu Q; Chen K; Gao Z; Zhang X; Ma Y; Liu Y; Xiao L; Xu L; Peng L; Hao Z; Yang M; Wang Y; Ou H; Jia Y; Tian L; Zhang W; Jin P; Tian X; Huang L; Wang Z; Liu J; Fang T; Yan D; Cao H; Ma J; Li X; Zheng X; Lou H; Song C; Li R; Wang S; Li W; Zheng X; Chen J; Li G; Chen R; Xu C; Yu R; Wang J; Xu S; Kong B; Xie X; Ma D; Gao Q
Lancet Digit Health; 2022 Mar; 4(3):e179-e187. PubMed ID: 35216752
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging.
Wang R; Cai Y; Lee IK; Hu R; Purkayastha S; Pan I; Yi T; Tran TML; Lu S; Liu T; Chang K; Huang RY; Zhang PJ; Zhang Z; Xiao E; Wu J; Bai HX
Eur Radiol; 2021 Jul; 31(7):4960-4971. PubMed ID: 33052463
[TBL] [Abstract][Full Text] [Related]
11. Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.
Lee JH; Joo I; Kang TW; Paik YH; Sinn DH; Ha SY; Kim K; Choi C; Lee G; Yi J; Bang WC
Eur Radiol; 2020 Feb; 30(2):1264-1273. PubMed ID: 31478087
[TBL] [Abstract][Full Text] [Related]
12. Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture.
Laverde-Saad A; Jfri A; García R; Salgüero I; Martínez C; Cembrero H; Roustán G; Alfageme F
Skin Res Technol; 2022 Jan; 28(1):35-39. PubMed ID: 34420233
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
14. Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.
Wang CJ; Hamm CA; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Weinreb JC; Duncan JS; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3348-3357. PubMed ID: 31093705
[TBL] [Abstract][Full Text] [Related]
15. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
[TBL] [Abstract][Full Text] [Related]
16. Deep Learning for Classification of Bone Lesions on Routine MRI.
Eweje FR; Bao B; Wu J; Dalal D; Liao WH; He Y; Luo Y; Lu S; Zhang P; Peng X; Sebro R; Bai HX; States L
EBioMedicine; 2021 Jun; 68():103402. PubMed ID: 34098339
[TBL] [Abstract][Full Text] [Related]
17. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
[TBL] [Abstract][Full Text] [Related]
18. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.
Lee JH; Ha EJ; Kim JH
Eur Radiol; 2019 Oct; 29(10):5452-5457. PubMed ID: 30877461
[TBL] [Abstract][Full Text] [Related]
19. Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.
Ryu H; Shin SY; Lee JY; Lee KM; Kang HJ; Yi J
Eur Radiol; 2021 Nov; 31(11):8733-8742. PubMed ID: 33881566
[TBL] [Abstract][Full Text] [Related]
20. Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images.
Wei X; Gao M; Yu R; Liu Z; Gu Q; Liu X; Zheng Z; Zheng X; Zhu J; Zhang S
Med Sci Monit; 2020 Jun; 26():e926096. PubMed ID: 32555130
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]