It is possible to provide a portable, non-invasive device that is handheld and with which a person may use to screen themselves for early detection of skin cancer without the need to visit a physician. As the present invention uses broadband sources and/or multiple coherent sources, secondary ...
Objective To determine the correlation between atopy and prevalence of precanceroses, non‐melanoma skin cancer and malignant melanoma ( MM ), while taking into account known risk factors for skin cancer. Methods Data from occupational skin cancer screenings were analysed in a cross‐sectional ...
In addition, the encouraging diagnostic performance, especially for emerging diseases such as monkeypox, has indicated the potential to collaborate with public health authorities to assist in internet-based screening efforts for such conditions. Performance on benchmark datasets Similar to the case of ...
Skin cancer affects the lives of millions of people every year, as it is considered the most popular form of cancer. In the USA alone, approximately three
Well, these X-rays help us peer beneath the skin of the breast, where doctors may find certain changes within the breast that are more indicative of cancer. If, during the process of screening for breast cancer or monthly self-exams, there is a suspicious sign or symptom, then further ...
By focusing on visits coded as skin cancer screenings, we could determine the NNB and the proportion of visits resulting in skin cancer diagnosis. Although few data are available on the NNB for PAs, a large German skin cancer screening initiative, in which dermatologists made the decisions to...
Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata Nyi N. Soe Zhen Yu Lei Zhang BMC Medicine(2024) Artificial intelligence in the neonatal intensive care unit: the time is now ...
Wang Y, Yang F, Zhang J, Wang H, Yue X, Liu S (2021) Application of artificial intelligence based on deep learning in breast cancer screening and imaging diagnosis. Neural Comput Appl 33(15):9637–9647 ArticleGoogle Scholar Lee RS, Gimenez F, Hoogi A, Miyake KK, Gorovoy M, Rubin DL...
In addition, it was observed that several metabolites increased significantly in HCC tissues, including glutathione, 5’-methylthioadenosine, 3,4,5-trimethoxycinnamic acid, oxoadipic acid, and 2-oxoarginine, which have the potential to be biomarkers for liver cancer screening (Fig.3band Supplementary...
Paper tables with annotated results for Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis