[1]
|
Bhowmik M K, Gogoi U R, Majumdar G, et al. Designing of Ground-Truth-Annotated DBT-TU-JU Breast Thermogram Database Toward Early Abnormality Prediction[J]. IEEE Journal of Biomedical and Health Informatics, 2018, 22: 1238-1249. doi: 10.1109/JBHI.2017.2740500
|
[2]
|
De Santana M A, Pereira J M S, Da Silva F L, et al. Breast cancer diagnosis based on mammary thermography and extreme learning machines[J]. Research on Biomedical Engineering, 2018, 34: 45-53. doi: 10.1590/2446-4740.05217
|
[3]
|
Dua G, Mulaveesala R. Applicability of active infrared thermography for screening of human breast: a numerical study[J]. Journal of Biomedical Optics, 2018, 23: 9. https://www.ncbi.nlm.nih.gov/pubmed/29560626
|
[4]
|
Mambou S J, Maresova P, Krejcar O, et al. Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model[J]. Sensors, 2018, 18: 19.
|
[5]
|
Morales-Cervantes A, Kolosovas-Machuca E S, Guevara E, et al. an Automated Method for the Evaluation of Breast Cancer Using Infrared Thermography[J]. Excli Journal, 2018, 17: 989-998. https://www.ncbi.nlm.nih.gov/pubmed/30564079
|
[6]
|
Santana M A d, Pereira J M S, Silva F L d, et al. Breast cancer diagnosis based on mammary thermography and extreme learning machines[J]. Research on Biomedical Engineering, 2018, 34: 45-53. doi: 10.1590/2446-4740.05217
|
[7]
|
Wahab A A, Salim M I M, Yunus J, et al. Comparative evaluation of medical thermal image enhancement techniques for breast cancer detection[J]. Journal of Engineering and Technological Sciences, 2018, 50: 40-52. doi: 10.5614/j.eng.technol.sci.2018.50.1.3
|
[8]
|
Abdel-Nasser M, Moreno A, Puig D. Breast Cancer Detection in Thermal Infrared Images Using Representation Learning and Texture Analysis Methods[J]. Electronics, 2019, 8: 18. http://www.researchgate.net/publication/330412196_Breast_Cancer_Detection_in_Thermal_Infrared_Images_Using_Representation_Learning_and_Texture_Analysis_Methods
|
[9]
|
Singh D, Singh A K. Role of image thermography in early breast cancer detection- Past, present and future[J]. Computer Methods and Programs in Biomedicine, 2020, 183: 61-69. https://www.sciencedirect.com/science/article/pii/S0169260719311277
|
[10]
|
Fokam D, Lehmann C. Clinical assessment of arthritic knee pain by infrared thermography[J]. Journal of basic and clinical physiology and pharmacology, 2018, 30: 21-25. http://www.ncbi.nlm.nih.gov/pubmed/30375348
|
[11]
|
Pauk J, Wasilewska A, Ihnatouski M. Infrared thermography sensor for disease activity detection in Rheumatoid arthritis patients[J]. Sensors (Switzerland), 2019, 19: 34-48. https://www.mdpi.com/1424-8220/19/16/3444/pdf
|
[12]
|
Pauk J, Ihnatouski M, Wasilewska A. Detection of inflammation from finger temperature profile in rheumatoid arthritis[J]. Medical & Biological Engineering & Computing, 2019, 57: 2629-2639. doi: 10.1007/s11517-019-02055-1.pdf
|
[13]
|
Gatt A, Mercieca C, Borg A, et al. A comparison of thermographic characteristics of the hands and wrists of rheumatoid arthritis patients and healthy controls[J]. Scientific Reports, 2019, 9: 172-180. doi: 10.1038/s41598-018-36890-3
|
[14]
|
Haq T, Crane J D, Kanji S, et al. Optimizing the methodology for measuring supraclavicular skin temperature using infrared thermography; implications for measuring brown adipose tissue activity in humans[J]. Scientific Reports, 2017, 7: 9. doi: 10.1038/s41598-017-00053-7
|
[15]
|
Jimenez-Pavon D, Corral-Perez J, Sanchez-Infantes D, et al. Infrared Thermography for Estimating Supraclavicular Skin Temperature and BAT Activity in Humans: A Systematic Review[J]. Obesity, 2019, 27: 1932-1949. doi: 10.1002/oby.22635
|
[16]
|
LIN P H, Echeverria A, Poi M J. Infrared thermography in the diagnosis and management of vasculitis[J]. Journal of vascular surgery cases and innovative techniques, 2017, 3: 112-114. doi: 10.1016/j.jvscit.2016.12.002
|
[17]
|
Gauci J, Falzon O, Formosa C, et al. Automated Region Extraction from Thermal Images for Peripheral Vascular Disease Monitoring[J]. Journal of Healthcare Engineering, 2018, 2018: 14. https://www.hindawi.com/journals/jhe/2018/5092064/
|
[18]
|
Carriere M E, de Haas L E M, Pijpe A, et al. Validity of thermography for measuring burn wound healing potential[J]. Wound Repair and Regeneration, 2019, 10: 1-8. https://pubmed.ncbi.nlm.nih.gov/31777128/
|
[19]
|
Knobel-Dail R B, Holditch-Davis D, Sloane R, et al. Body temperature in premature infants during the first week of life: Exploration using infrared thermal imaging[J]. Journal of Thermal Biology, 2017, 69: 118-123. doi: 10.1016/j.jtherbio.2017.06.005
|
[20]
|
Topalidou A, Ali N, Sekulic S, et al. Thermal imaging applications in neonatal care: a scoping review[J]. Bmc Pregnancy and Childbirth, 2019, 19: 14. doi: 10.1186/s12884-018-2132-3
|
[21]
|
Pereira T, Nogueira-Silva C, Simoes R. Normal range and lateral symmetry in the skin temperature profile of pregnant women[J]. Infrared Physics & Technology, 2016, 78: 84-91. https://www.sciencedirect.com/science/article/pii/S1350449516302067
|
[22]
|
Martini G, Cappella M, Culpo R, et al. Infrared thermography in children: a reliable tool for differential diagnosis of peripheral microvascular dysfunction and Raynaud's phenomenon?[J]. Pediatric Rheumatology, 2019, 17: 9. doi: 10.1186/s12969-019-0307-8
|
[23]
|
Garcia-Porta N, Gantes-Nunez F J, Tabernero J, et al. Characterization of the ocular surface temperature dynamics in glaucoma subjects using long-wave infrared thermal imaging[J]. Journal of the Optical Society of America a-Optics Image Science and Vision, 2019, 36: 1015-1021. doi: 10.1364/JOSAA.36.001015
|
[24]
|
Debiec-Bak A, Wojtowicz D, Pawik L, et al. Analysis of body surface temperatures in people with Down syndrome after general rehabilitation exercise[J]. Journal of Thermal Analysis and Calorimetry, 2019, 135: 2399-2410. doi: 10.1007/s10973-018-7345-1
|
[25]
|
Hernandez-Contreras D A, Peregrina-Barreto H, Rangel-Magdaleno J D, et al. Plantar Thermogram Database for the Study of Diabetic Foot Complications[J]. IEEE Access, 2019, 7: 161296-161307. doi: 10.1109/ACCESS.2019.2951356
|
[26]
|
丁德红. 16位高精度在线式红外热像仪的技术方案与实现[J].红外技术, 2017, 39(9): 841-847. http://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201709011.htmDehong D. Online Temperature Measurement Technology Solutions and Implementationof 16 bit Infrared Thermal Imager[J]. Infrared Technology, 2017, 39(9): 841-847. http://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201709011.htm
|
[27]
|
Tan J H, Acharya U R. Pseudocolours for thermography-Multi-segments colour scale[J]. Infrared Physics & Technology, 2015, 72: 140-147. https://www.sciencedirect.com/science/article/pii/S1350449515001875
|
[28]
|
Kermani S, Samadzadehaghdam N, EtehadTavakol M. Automatic color segmentation of breast infrared images using a Gaussian mixture model[J]. Optik, 2015, 126: 3288-3294. doi: 10.1016/j.ijleo.2015.08.007
|
[29]
|
LI T J, WANG Y Y, CHANG C, et al. Color-appearance-model based fusion of gray and pseudo-color images for medical applications[J]. Information Fusion, 2014, 19: 103-114. doi: 10.1016/j.inffus.2012.07.002
|