title: Semi-automated breast cancer tumor detection with thermographic video imaging.
abstract: Screening for breast cancer enables early detection by which curative treatment can be possible. While mammography is the current gold standard for screening, it has low sensitivity in younger women and its harmful X-rays in frequent screening can increase the risk of cancer. Incidence rates are rising in younger women, causing a relook at thermography for low cost and non-harmful screening. In this paper, thermography is compared to mammography correlated with sono-mammography in 65 FNAC/biopsy proven cancer subjects in India. Thermography is comparable to mammography correlated with sono-mammography, having 94% and 95% sensitivity, respectively. A novel semi-automated thermographic tumor detection and location algorithm used in this paper also provides 97% sensitivity. This shows the promise of automated thermographic screening for reaching large populations in a cost effective manner in low resource settings in countries like India. Further studies in a large scale need to be done to evaluate the specificity to enable such solutions.
authors.forename: Krithika
authors.initials: K
authors.lastname: Venkataramani
authors.forename: Lalit K
authors.initials: LK
authors.lastname: Mestha
authors.forename: L
authors.initials: L
authors.lastname: Ramachandra
authors.forename: S S
authors.initials: SS
authors.lastname: Prasad
authors.forename: Vijay
authors.initials: V
authors.lastname: Kumar
authors.forename: Priyanka J
authors.initials: PJ
authors.lastname: Raja
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008327:Mammography; D013817:Thermography / Q000379:methods*; D014741:Video Recording / Q000379:methods*