2017
DOI: 10.1016/j.procs.2017.01.161
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Towards the Scalable Cloud Platform for Non-Invasive Skin Cancer Diagnostics

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Cited by 7 publications
(2 citation statements)
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“…Altogether, it has up to 95 percent chance for treatment in case of on-time detection. The on-time detection is difficult due to low accessibility to expert dermatologists and a low number of patients taking frequent detections [70]. In this section, four skin cancer articles related to cloud-based systems were analyzed.…”
Section: E Skin Cancermentioning
confidence: 99%
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“…Altogether, it has up to 95 percent chance for treatment in case of on-time detection. The on-time detection is difficult due to low accessibility to expert dermatologists and a low number of patients taking frequent detections [70]. In this section, four skin cancer articles related to cloud-based systems were analyzed.…”
Section: E Skin Cancermentioning
confidence: 99%
“…Bliznuks, et al [70] have implemented portable automated diagnostic devices available to a wide range of medical institutions to deal with the early diagnostics unavailability. They have focused on image segmentation methods and problems and extend • Main aim: Proposing a non-programming background tool to develop complex deep learning models to categorize dermal cell images and diagnose skin cancer.…”
Section: E Skin Cancermentioning
confidence: 99%