Thermal Imaging - An Emerging Modality for Breast Cancer Detection: A Comprehensive Review.

Breast cancer is not preventable. To reduce the death rate and improve the survival chances of breast cancer patients, early and accurate detection is the only panacea. Delay in diagnosis of this disease causes 60% of deaths. Thermal imaging is a low-risk modality for early breast cancer decision ma...

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Publicado en:Journal of Medical Systems Vol. 44; no. 8; pp. 1 - 19
Autores principales: Hakim, Aayesha, Awale, R. N.
Formato: diagnostic images review tables/charts Journal Article
Publicado: Springer Nature Aug2020
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
      place: New York, New York
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        atl: Thermal Imaging - An Emerging Modality for Breast Cancer Detection: A Comprehensive Review.
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          Hakim, Aayesha
          Awale, R. N.
        affil: Veermata Jijabai Technological Institute, Mumbai, India
      sug:
        subj:
          Breast Neoplasms Diagnosis
          Thermography
          Early Detection of Cancer Methods
          Image Processing, Computer Assisted
      ab: Breast cancer is not preventable. To reduce the death rate and improve the survival chances of breast cancer patients, early and accurate detection is the only panacea. Delay in diagnosis of this disease causes 60% of deaths. Thermal imaging is a low-risk modality for early breast cancer decision making without injecting any form of energy into the human body. Thermography as a screening tool was first introduced and well accepted in 1956. However, a study in 1977 found that it lagged behind other screening tools and is subjective. Soon after, its use was discontinued. This review discusses various screening tools used to detect breast cancer with a focus on thermography along with their advantages and shortcomings. With the maturation of thermography equipment and technological advances, this technique is emerging and has become the refocus of many biomedical researchers across the globe in the past decade. This study dispenses an exhaustive review of the work done related to interpretation of breast thermal variations and confers the discipline, frameworks, and methodologies used by different authors to diagnose breast cancer. Different performance metrics like accuracy, specificity, and sensitivity have also been examined. This paper outlines the most pressing research gaps for future work to improvise the accuracy of results for diagnosis of breast abnormalities using image processing tools, mathematical modelling and artificial intelligence. However, supplementary research is needed to affirm the potential of this technology for predicting breast cancer risk effectively. Altogether, our findings inform that it is a promising research problem and a potential solution for early detection of breast cancer in younger women.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        review
        tables/charts
        Journal Article
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    language: English
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