Titlebook: Intelligent Computing Systems; Third International Carlos Brito-Loeza,Arturo Espinosa-Romero,Asad Saf Conference proceedings 2020 Springer

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Breast Cancer Detection and Localization Using MobileNet Based Transfer Learning for Mammograms,diagnosis. As opposed to biopsy, mammography helps in early detection of cancer and hence saves lives. Mass classification in mammograms remains a major challenge and plays a vital role in helping radiologists in accurate diagnosis. In this work, we propose a MobileNet based architecture for early b

diabetes

,U-Net Based Glioblastoma Segmentation with Patient’s Overall Survival Prediction, This task can be simplified by computer aided automatic segmentation of brain MRI volumes into sub-regions. The MRI volumes segmentation can be achieved by deep learning methods but due to highly imbalance data, it becomes very challenging. In this article, we propose deep learning based solutions

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Tortuous

Blockchain-Based Authentication Approach for Securing Transportation System,h other to obtain services and perform updates via the internet. However, this will emerge new vulnerabilities which in turn will emerge attack vectors like Advanced Persistent Threat attack (APT) to gain unauthorized access to the transportation system. APT causes disruption and data loss as well a

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A Classification Model for Modeling Online Articles,pic of interest to many categories of people ranging from marketing personnel to politicians. In this paper, we focus on comparing four classification algorithms on a dataset consisting of 39000 news articles taken from Mashable website. The articles were classified into two classes: Popular and not

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