920 related articles for article (PubMed ID: 33238691)
1. [Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].
He ZY; Wang Y; Zhang PH; Zuo K; Liang PF; Zeng JZ; Zhou ST; Guo L; Huang MT; Cui X
Zhonghua Shao Shang Za Zhi; 2020 Nov; 36(11):1070-1074. PubMed ID: 33238691
[No Abstract] [Full Text] [Related]
2. Improving burn depth assessment for pediatric scalds by AI based on semantic segmentation of polarized light photography images.
Cirillo MD; Mirdell R; Sjöberg F; Pham TD
Burns; 2021 Nov; 47(7):1586-1593. PubMed ID: 33947595
[TBL] [Abstract][Full Text] [Related]
3. [Meta-analysis on the diagnostic value of laser Doppler imaging for burn depth].
Huang Y; Qiu L; Mei AL; Li JX
Zhonghua Shao Shang Za Zhi; 2017 May; 33(5):301-308. PubMed ID: 28651422
[No Abstract] [Full Text] [Related]
4. Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient.
Jiao C; Su K; Xie W; Ye Z
Burns Trauma; 2019; 7():6. PubMed ID: 30859107
[TBL] [Abstract][Full Text] [Related]
5. Time-Independent Prediction of Burn Depth Using Deep Convolutional Neural Networks.
Cirillo MD; Mirdell R; Sjöberg F; Pham TD
J Burn Care Res; 2019 Oct; 40(6):857-863. PubMed ID: 31187119
[TBL] [Abstract][Full Text] [Related]
6. Real-time burn depth assessment using artificial networks: a large-scale, multicentre study.
Wang Y; Ke Z; He Z; Chen X; Zhang Y; Xie P; Li T; Zhou J; Li F; Yang C; Zhang P; Huang C; Kai L
Burns; 2020 Dec; 46(8):1829-1838. PubMed ID: 32826097
[TBL] [Abstract][Full Text] [Related]
7. [Advances in the research of artificial intelligence technology assisting the diagnosis of burn depth].
Ben C; Li HH; Liu T; Wang ZJ; Cheng DS; Zhu SH
Zhonghua Shao Shang Za Zhi; 2020 Mar; 36(3):244-246. PubMed ID: 32241051
[TBL] [Abstract][Full Text] [Related]
8. Segmentation and classification of burn images by color and texture information.
Acha B; Serrano C; Acha JI; Roa LM
J Biomed Opt; 2005; 10(3):034014. PubMed ID: 16229658
[TBL] [Abstract][Full Text] [Related]
9. Prediction of pulp exposure risk of carious pulpitis based on deep learning.
Wang L; Wu F; Xiao M; Chen YX; Wu L
Hua Xi Kou Qiang Yi Xue Za Zhi; 2023 Apr; 41(2):218-224. PubMed ID: 37056189
[TBL] [Abstract][Full Text] [Related]
10. [Antiseptic effect of compound lysostaphin disinfectant and its preventive effect on infection of artificial dermis after graft on full-thickness skin defect wound in rats].
Jin J; Zhou H; Cui ZC; Wang L; Luo PF; Ji SZ; Hu XY; Ma B; Wang GY; Zhu SH; Xia ZF
Zhonghua Shao Shang Za Zhi; 2018 Apr; 34(4):225-232. PubMed ID: 29690741
[No Abstract] [Full Text] [Related]
11. [Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].
Xu JH; Zhou XM; Ma JL; Liu SS; Zhang MS; Zheng XF; Zhang XY; Liu GW; Zhang XX; Lu Y; Wang DS
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):572-577. PubMed ID: 32521977
[No Abstract] [Full Text] [Related]
12. Influence of the Depth of the Convolutional Neural Networks on an Artificial Intelligence Model for Diagnosis of Orthognathic Surgery.
Kim YH; Park JB; Chang MS; Ryu JJ; Lim WH; Jung SK
J Pers Med; 2021 Apr; 11(5):. PubMed ID: 33946874
[TBL] [Abstract][Full Text] [Related]
13. [Clinical characteristics and treatment of diabetic patients with superficial partial-thickness burn on feet].
Ling XW; Zhang TT; Dai WT; Xia WD; Lin C
Zhonghua Shao Shang Za Zhi; 2019 Jan; 35(1):25-30. PubMed ID: 30678398
[No Abstract] [Full Text] [Related]
14. GL-FusionNet: Fusing global and local features to classify deep and superficial partial thickness burn.
Li Z; Huang J; Tong X; Zhang C; Lu J; Zhang W; Song A; Ji S
Math Biosci Eng; 2023 Mar; 20(6):10153-10173. PubMed ID: 37322927
[TBL] [Abstract][Full Text] [Related]
15. A deep learning model for burn depth classification using ultrasound imaging.
Lee S; Rahul ; Lukan J; Boyko T; Zelenova K; Makled B; Parsey C; Norfleet J; De S
J Mech Behav Biomed Mater; 2022 Jan; 125():104930. PubMed ID: 34781225
[TBL] [Abstract][Full Text] [Related]
16. [Influence of the depth of retained denatured dermis on the survival rate of grafted skin in burn swine with deep partial-thickness burn].
Zhao YH; Yang HG; Deng HT; Yuan DL; Xu LH; Huang WQ; Shen YM
Zhonghua Shao Shang Za Zhi; 2013 Aug; 29(4):365-70. PubMed ID: 24351536
[TBL] [Abstract][Full Text] [Related]
17. Dielectric measurement in experimental burns: a new tool for burn depth determination?
Papp A; Lahtinen T; Härmä M; Nuutinen J; Uusaro A; Alhava E
Plast Reconstr Surg; 2006 Mar; 117(3):889-98; discussion 899-901. PubMed ID: 16525281
[TBL] [Abstract][Full Text] [Related]
18. Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.
Zhou QQ; Wang J; Tang W; Hu ZC; Xia ZY; Li XS; Zhang R; Yin X; Zhang B; Zhang H
Korean J Radiol; 2020 Jul; 21(7):869-879. PubMed ID: 32524787
[TBL] [Abstract][Full Text] [Related]
19. Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment.
Thatcher JE; Yi F; Nussbaum AE; DiMaio JM; Dwight J; Plant K; Carter JE; Holmes JH
J Burn Care Res; 2023 Jul; 44(4):969-981. PubMed ID: 37082889
[TBL] [Abstract][Full Text] [Related]
20. Classification of burn injuries using near-infrared spectroscopy.
Sowa MG; Leonardi L; Payette JR; Cross KM; Gomez M; Fish JS
J Biomed Opt; 2006; 11(5):054002. PubMed ID: 17092151
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]