A Review on Patch-Wise Asymmetry Analysis of Thermograms for Predicting Breast Abnormality in Breast Cancer Detection

Prasanjeet Prabhakar Charpe*, Sunil Kumar**
*-** Kalinga University, Naya Raipur, Chhattisgarh, India.
Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jit.11.4.19211

Abstract

Thermography, also referred to as thermal imaging, is a technique for identifying breast irregularities through the capturing of temperature patterns using an infrared camera. It is being explored as a potential tool for diagnosing breast cancer, particularly in young women with thick breasts, due to the limitations of mammography. However, it is important to note that thermal imaging is not currently considered a replacement for mammography and should be used in conjunction with other diagnostic tools such as mammography and ultrasound. Further research is necessary to determine the effectiveness of thermal imaging in diagnosing breast cancer.

Keywords

Deep Learning, SVM, Breast Asymmetry Detection, MRI.

How to Cite this Article?

Charpe, P. P. and Kumar, S. (2022). A Review on Patch-Wise Asymmetry Analysis of Thermograms for Predicting Breast Abnormality in Breast Cancer Detection. i-manager’s Journal on Information Technology, 11(4), 24-29. https://doi.org/10.26634/jit.11.4.19211

References

[1]. Guo, R., Lu, G., Qin, B., & Fei, B. (2018). Ultrasound imaging technologies for breast cancer detection and management: A review. Ultrasound in Medicine & Biology, 44(1), 37-70. https://doi.org/10.1016/j.ultrasmedbio.2017.09.012
[2]. Gupta, K., Sandhu, P., Arora, S., & Bedi, G. (2018). Role of high resolution ultrasound complementary to digital mammography. Annals of African Medicine, 17(3), 117-124. https://doi.org/10.4103/aam.aam_36_17
[3]. Hirsch, L., Huang, Y., Luo, S., Rossi Saccarelli, C., Lo Gullo, R., Daimiel Naranjo, I., ... & Sutton, E. J. (2021). Radiologist-level performance by using deep learning for segmentation of breast cancers on MRI scans. Radiology: Artificial Intelligence, 4(1), e200231. https://doi.org/10.1148/ryai.200231
[4]. Kanojia, M. G., Ansari, M. A. M. H., Gandhi, N., & Yadav, S. K. (2021). Image processing techniques for breast cancer detection: A review. In Intelligent Systems Design and Applications: 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019) (pp. 649-660). Springer International Publishing. https://doi.org/10.1007/978-3-030-49342-4_63
[5]. Kim, B., Serfa Juan, R. O., Lee, D. E., & Chen, Z. (2021). Importance of image enhancement and CDF for fault assessment of photovoltaic module using IR thermal image. Applied Sciences, 11(18), 8388. https://doi.org/10.3390/app11188388
[6]. Mohanaiah, P., Sathyanarayana, P., & GuruKumar, L. (2013). Image texture feature extraction using GLCM approach. International Journal of Scientific and Research Publications, 3(5), 290-294.
[7]. Morrow, M., Waters, J., & Morris, E. (2011). MRI for breast cancer screening, diagnosis, and treatment. The Lancet, 378(9805), 1804-1811. https://doi.org/10.1016/S0140-6736(11)61350-0
[8]. Sathish, D., Kamath, S., Prasad, K., & Kadavigere, R. (2019). Role of normalization of breast thermogram images and automatic classification of breast cancer. The Visual Computer, 35, 57-70. https://doi.org/10.1007/s00371-017-1447-9
[9]. Sood, R., Rositch, A. F., Shakoor, D., Ambinder, E., Pool, K. L., Pollack, E., ... & Harvey, S. C. (2019). Ultrasound for breast cancer detection globally: A systematic review and meta-analysis. Journal of Global Oncology, 5, 1-17. https://doi.org/10.1200/JGO.19.00127
[10]. Suryanarayanan, S., Karellas, A., Vedantham, S., & Sechopoulos, I. (2006). Theoretical analysis of highresolution digital mammography. Physics in Medicine & Biology, 51(12), 3041. https://doi.org/10.1088/0031-9155/51/12/003
[11]. Zhang, Y. N., Xia, K. R., Li, C. Y., Wei, B. L., & Zhang, B. (2021). Review of breast cancer pathologigcal image processing. BioMed Research International, 2021, 1-7. https://doi.org/10.1155/2021/1994764
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