119 related articles for article (PubMed ID: 34412845)
1. Multi-feature representation for burn depth classification via burn images.
Zhang B; Zhou J
Artif Intell Med; 2021 Aug; 118():102128. PubMed ID: 34412845
[TBL] [Abstract][Full Text] [Related]
2. Burn characterization using object-oriented hyperspectral image classification.
Parasca SV; Calin MA
J Biophotonics; 2022 Nov; 15(11):e202200106. PubMed ID: 35861489
[TBL] [Abstract][Full Text] [Related]
3. Feature Extraction Based Machine Learning for Human Burn Diagnosis From Burn Images.
Yadav DP; Sharma A; Singh M; Goyal A
IEEE J Transl Eng Health Med; 2019; 7():1800507. PubMed ID: 31392104
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning.
Liu H; Yue K; Cheng S; Li W; Fu Z
Comput Math Methods Med; 2021; 2021():5514224. PubMed ID: 33880130
[TBL] [Abstract][Full Text] [Related]
6. Tensor Decomposition for Colour Image Segmentation of Burn Wounds.
Cirillo MD; Mirdell R; Sjöberg F; Pham TD
Sci Rep; 2019 Mar; 9(1):3291. PubMed ID: 30824754
[TBL] [Abstract][Full Text] [Related]
7. Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence.
Jacobson MJ; Masry ME; Arrubla DC; Tricas MR; Gnyawali SC; Zhang X; Gordillo G; Xue Y; Sen CK; Wachs J
Mil Med; 2023 Nov; 188(Suppl 6):674-681. PubMed ID: 37948279
[TBL] [Abstract][Full Text] [Related]
8. Burn Images Segmentation Based on Burn-GAN.
Dai F; Zhang D; Su K; Xin N
J Burn Care Res; 2021 Aug; 42(4):755-762. PubMed ID: 33336696
[TBL] [Abstract][Full Text] [Related]
9. Features identification for automatic burn classification.
Serrano C; Boloix-Tortosa R; Gómez-Cía T; Acha B
Burns; 2015 Dec; 41(8):1883-1890. PubMed ID: 26188898
[TBL] [Abstract][Full Text] [Related]
10. Real-time Burn Classification using Ultrasound Imaging.
Lee S; Rahul ; Ye H; Chittajallu D; Kruger U; Boyko T; Lukan JK; Enquobahrie A; Norfleet J; De S
Sci Rep; 2020 Apr; 10(1):5829. PubMed ID: 32242131
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A computer assisted diagnosis tool for the classification of burns by depth of injury.
Serrano C; Acha B; Gómez-Cía T; Acha JI; Roa LM
Burns; 2005 May; 31(3):275-81. PubMed ID: 15774281
[TBL] [Abstract][Full Text] [Related]
13. Detection and classification of burnt skin via sparse representation of signals by over-redundant dictionaries.
Rangel-Olvera B; Rosas-Romero R
Comput Biol Med; 2021 May; 132():104310. PubMed ID: 33721733
[TBL] [Abstract][Full Text] [Related]
14.
Parvez MA; Yashiro K; Nagahama Y; Tsunoi Y; Saitoh D; Sato S; Nishidate I
J Biomed Opt; 2024 Feb; 29(2):026003. PubMed ID: 38361505
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. BPBSAM: Body part-specific burn severity assessment model.
Chauhan J; Goyal P
Burns; 2020 Sep; 46(6):1407-1423. PubMed ID: 32376068
[TBL] [Abstract][Full Text] [Related]
17. Forward-looking infrared imaging predicts ultimate burn depth in a porcine vertical injury progression model.
Miccio J; Parikh S; Marinaro X; Prasad A; McClain S; Singer AJ; Clark RA
Burns; 2016 Mar; 42(2):397-404. PubMed ID: 26775220
[TBL] [Abstract][Full Text] [Related]
18. Interobserver reliability of laser speckle contrast imaging in the assessment of burns.
Mirdell R; Farnebo S; Sjöberg F; Tesselaar E
Burns; 2019 Sep; 45(6):1325-1335. PubMed ID: 31230800
[TBL] [Abstract][Full Text] [Related]
19. Burn depth analysis using multidimensional scaling applied to psychophysical experiment data.
Acha B; Serrano C; Fondón I; Gómez-Cía T
IEEE Trans Med Imaging; 2013 Jun; 32(6):1111-20. PubMed ID: 23542950
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]