Abstract
Usage of Skin Tumor Images on the Internet for Personal Computer Based Automated Cognition
Highlights
To deal with skin tumors, visual diagnosis is the first to do and essential
Feasibility of using macroscopic skin tumor images on the internet for automated cognition was studied by a personal computer
Despite variation of image quality, using skin tumor images on the internet is a feasible approach for automated cognition
Summary
Reports of automated analysis of skin lesions have been increasing [1,2,3,4]. Frontline neurons of artificial neural networks receive input, which was translated into a series of numbers, from outside and transfer signals to neurons of the layer. Deep learning approach, which refers to artificial neural networks that are composed of many layers [9], is one of the representative methodologies in recent Artificial Intelligence (AI). It has been used in computer visions such as image classification, object detection and object tracking. There are one or more convolutional layers in the multi-layered artificial neural network
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
