Page 84 - AIH-1-3

Artificial Intelligence in Health Rotational thermography for breast cancer screening

10. EtehadTavakol M, Chandran V, Ng EYK, Kafieh R. Breast 20. Chen GL, Lee CY. Iterative Morphology-based
cancer detection from thermal images using bispectral Segmentation of Breast Tumors in Ultrasound Images. In:
invariant features. Int J Therm Sci. 2013;69:21-36. 2014 International Symposium on Computer, Consumer and
Control, IEEE; 2014. p. 1107-1110.
doi: 10.1016/j.ijthermalsci.2013.03.001
doi: 10.1109/IS3C.2014.288
11. Garduño-Ramón MA, Vega-Mancilla SG, Morales-
Henández LA, Osornio-Rios RA. Supportive noninvasive 21. Li C, Xu C, Gui C, Fox MD. Distance regularized level set
tool for the diagnosis of breast cancer using a thermographic evolution and its application to image segmentation. IEEE
camera as sensor. Sensors (Basel). 2017;17(3):497. Trans Image Process. 2010;19(12):3243-3254.
doi: 10.3390/s17030497 doi: 10.1109/TIP.2010.2069690
12. Prakash RM, Bhuvaneshwari K, Divya M, Sri KJ, Begum AS. 22. Caselles V, Catté F, Coll T, Dibos F. A geometric model for
Segmentation of Thermal Infrared Breast Images Using active contours in image processing. Numer Math. 1993;66:1-3.
K-means, FCM and EM Algorithms for Breast Cancer doi: 10.1007/BF01385685
Detection. In: 2017 International Conference on Innovations
in Information, Embedded and Communication Systems 23. Mambou SJ, Maresova P, Krejcar O, Selamat A, Kuca K.
(ICIIECS), IEEE; 2017. p. 1-4. Breast cancer detection using infrared thermal imaging and
a deep learning model. Sensors (Basel). 2018;18(9):2799.
doi: 10.1109/ICIIECS.2017.8276142
doi: 10.3390/s18092799
13. Venkataramani K, Mestha LK, Ramachandra L, Prasad SS,
Kumar V, Raja PJ. Semi-automated breast cancer tumor 24. Tsietso D, Yahya A, Samikannu R. A review on thermal
detection with thermographic video imaging. Annu Int Conf imaging-based breast cancer detection using deep learning.
IEEE Eng Med Biol Soc. 2015;2015:2022-2025. Mob Inf Syst. 2022;2022:1-19.
doi: 10.1155/2022/8952849
doi: 10.1109/EMBC.2015.7318783
25. Wu MN, Lin CC, Chang CC. Brain Tumor Detection Using
14. Kandlikar SG, Perez-Raya I, Raghupathi PA, et al. Infrared Color-Based K-Means Clustering Segmentation. In: Third
imaging technology for breast cancer detection - Current International Conference on Intelligent Information Hiding
status, protocols and new directions. Int J Heat Mass Transf.
2017;108:2303-2320. and Multimedia Signal Processing (IIH-MSP), IEEE; 2007.
p. 245-250.
doi: 10.1016/j.ijheatmasstransfer.2017.01.086
doi: 10.1109/IIHMSP.2007.4457697
15. Bandyopadhyay A, Chaudhuri A, Mondal HS. IR based 26. Zhang Y, Wu X, He L, et al. Applications of hyperspectral
Intelligent Image Processing Techniques for Medical imaging in the detection and diagnosis of solid tumours.
Applications. In: 2016 SAI Computing Conference (SAI), Transl Cancer Res. 2020;9(2):1265-1277.
IEEE; 2016. p. 113-117.
doi: 10.21037/tcr.2019.12.53
doi: 10.1109/SAI.2016.7555970
27. Lugano R, Ramachandran M, Dimberg A. Tumor
16. Bandyopadhyay A, Mondal HS, Dam B, Patranabis DC. angiogenesis: Causes, consequences, challenges and
Efficient infrared image processing and machine learning opportunities. Cell Mol Life Sci. 2020;77(9):1745-1770.
algorithm for breast cancer screening. Comput Methods
Biomech Biomed Eng Imaging Vis. 2023;11:2226-2238. doi: 10.1007/s00018-019-03351-7
doi: 10.1080/21681163.2023.2225639 28. Houssein EH, Emam MM, Ali AA. An efficient multilevel
thresholding segmentation method for thermography breast
17. Bandyopadhyay A, Mondal HS, Pal B, Dam B, Patranabis DC. cancer imaging based on improved chimp optimization
Exploring the Potential Use of Infrared Imaging in Medical algorithm. Expert Syst Appl. 2021;185:115651.
Diagnosis: A Comprehensive Framework for Diabetes and
Breast Cancer Screening. In: Proceedings of 4 International doi: 10.1016/j.eswa.2021.115651
th
Conference on Image Processing and Capsule Networks 29. Houssein EH, Abdelkareem DA, Emam MM, Hameed MA,
(ICIPCN), Springer; 2023. Younan M. An efficient image segmentation method for skin
18. Kapoor P, Prasad SVA. Image Processing for Early Diagnosis cancer imaging using improved golden jackal optimization
of Breast Cancer Using Infrared Images. In: 2010 the algorithm. Comput Biol Med. 2022;149:106075.
2 International Conference on Computer and Automation doi: 10.1016/j.compbiomed.2022.106075
nd
Engineering (ICCAE), IEEE; 2010. p. 564-566.
30. De Santana MA, Pereira JMS, da Silva FL, et al. Breast cancer
doi: 10.1109/ICCAE.2010.5451827 diagnosis based on mammary thermography and extreme
learning machines. Res Biomed Eng. 2018;34(1):45-53.
19. Gonzalez RC, Woods RE. Digital Image Processing. 4 ed.
th
London: Pearson Education, Inc.; 2007. doi: 10.1590/2446-4740.05217

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