Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 71

1.

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. doi: 10.1109/TMI.2013.2254719.

PMID:
23542950
2.

Features identification for automatic burn classification.

Serrano C, Boloix-Tortosa R, Gómez-Cía T, Acha B.

Burns. 2015 Dec;41(8):1883-90. doi: 10.1016/j.burns.2015.05.011.

PMID:
26188898
3.

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.

PMID:
15774281
4.

Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.

Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ.

BMC Complement Altern Med. 2012 Aug 16;12:127. doi: 10.1186/1472-6882-12-127.

5.

Segmentation and classification of burn images by color and texture information.

Acha B, Serrano C, Acha JI, Roa LM.

J Biomed Opt. 2005 May-Jun;10(3):034014.

PMID:
16229658
6.

CAD tool for burn diagnosis.

Acha B, Serrano C, Acha JI, Roa LM.

Inf Process Med Imaging. 2003 Jul;18:294-305.

PMID:
15344466
7.

Noninvasive determination of burn depth in children by digital infrared thermal imaging.

Medina-Preciado JD, Kolosovas-Machuca ES, Velez-Gomez E, Miranda-Altamirano A, González FJ.

J Biomed Opt. 2013 Jun;18(6):061204. doi: 10.1117/1.JBO.18.6.061204.

PMID:
23111601
8.

Imaging acute thermal burns by photoacoustic microscopy.

Zhang HF, Maslov K, Stoica G, Wang LV.

J Biomed Opt. 2006 Sep-Oct;11(5):054033.

PMID:
17092182
9.

Wound status evaluation using color image processing.

Hansen GL, Sparrow EM, Kokate JY, Leland KJ, Iaizzo PA.

IEEE Trans Med Imaging. 1997 Feb;16(1):78-86.

PMID:
9050410
10.

Automatic segmentation of scaling in 2-D psoriasis skin images.

Lu J, Kazmierczak E, Manton JH, Sinclair R.

IEEE Trans Med Imaging. 2013 Apr;32(4):719-30. doi: 10.1109/TMI.2012.2236349.

PMID:
23288330
11.

A pilot evaluation study of high resolution digital thermal imaging in the assessment of burn depth.

Hardwicke J, Thomson R, Bamford A, Moiemen N.

Burns. 2013 Feb;39(1):76-81. doi: 10.1016/j.burns.2012.03.014.

PMID:
22652476
12.

Characterization of burns using hyperspectral imaging technique - a preliminary study.

Calin MA, Parasca SV, Savastru R, Manea D.

Burns. 2015 Feb;41(1):118-24. doi: 10.1016/j.burns.2014.05.002.

PMID:
24997530
13.

A methodology for extracting objective color from images.

Powell MW, Sarkar S, Goldgof DB, Ivanov K.

IEEE Trans Syst Man Cybern B Cybern. 2004 Oct;34(5):1964-78.

PMID:
15503493
14.

Comparison of several texture features for tumor detection in CE images.

Li BP, Meng MQ.

J Med Syst. 2012 Aug;36(4):2463-9. doi: 10.1007/s10916-011-9713-2.

PMID:
21523427
15.

A modeling approach for burn scar assessment using natural features and elastic property.

Zhang Y, Goldgof DB, Sarkar S, Tsap LV.

IEEE Trans Med Imaging. 2004 Oct;23(10):1325-9.

PMID:
15493699
16.

Quantitative assessment of burn injury in porcine skin with high-frequency ultrasonic imaging.

Brink JA, Sheets PW, Dines KA, Etchison MR, Hanke CW, Sadove AM.

Invest Radiol. 1986 Aug;21(8):645-51.

PMID:
3528037
17.

[Application of three-dimensional technology in assessment of burn area and treatment strategy of burns].

Sheng WB, Dong G, Wan Y, Yao L, Tang H, Xia Z.

Zhonghua Shao Shang Za Zhi. 2014 Aug;30(4):353-5. Chinese.

PMID:
25429817
18.

Automated tissue classification framework for reproducible chronic wound assessment.

Mukherjee R, Manohar DD, Das DK, Achar A, Mitra A, Chakraborty C.

Biomed Res Int. 2014;2014:851582. doi: 10.1155/2014/851582.

19.

Automatic differential diagnosis of pancreatic serous and mucinous cystadenomas based on morphological features.

Song JW, Lee JH, Choi JH, Chun SJ.

Comput Biol Med. 2013 Jan;43(1):1-15. doi: 10.1016/j.compbiomed.2012.10.009.

PMID:
23200461
20.

Statistical analysis of tongue images for feature extraction and diagnostics.

Wang X, Zhang B, Yang Z, Wang H, Zhang D.

IEEE Trans Image Process. 2013 Dec;22(12):5336-47.

PMID:
24108717

Supplemental Content

Support Center