Subha Ramanathan, Catherine O'Brien, Guy Faulkner, Michelle Stone
Happiness in motion: emotions, well-being, and active school travel
The Journal of school health
skin cancer sc especially melanoma growing public health burden experimental studies indicated potential diagnostic role deep learning dl algorithms identifying sc varying sensitivities previously demonstrated diagnostics dermoscopy improved applying additional sonification data sound waves conversion layer dl algorithms aim study determine impact image quality accuracy diagnosis sonification employing rudimentary skin magnifier polarized light smp dermoscopy images acquired smp processed first deep learning algorithm sonified audio output analyzed different secondary dl study criteria outcomes smp specificity sensitivity processed f2score ie applying twice extra weight sensitivity positive predictive values patients n 73 fulfilling inclusion criteria referred biopsy smp analysis metrics resulted receiver operator characteristic curve aucs 0814 95 ci 07980831 smp achieved f2score sensitivity 917 specificity 418 positive predictive value 573 diagnosing set patients lesions advanced dermoscope resulted f2score sensitivity 895 specificity 578 positive predictive value 599 pns dl processing dermoscopic images followed sonification results accurate diagnostic output smp implying quality dermoscope major factor influencing dl diagnosis skin cancer present system might assist healthcare providers feasible computerassisted detection system fund bostel technologies trial registration clinicaltrialsgov identifier nct03362138