DetectTimely

科展類別
臺灣國際科展作品
屆次
2020年
科別
電腦科學與資訊工程
得獎情形
四等獎
學校名稱
Homeschooled
作者
Om Agarwal
關鍵字
Breast Cancer, Early Detection, Augmented Diagnostics

摘要或動機

This research project focuses on developing a web-based multi-platform solution for augmenting prognostic strategies to diagnose breast cancer (BC), from a variety of different tests, including histology, mammography, cytopathology, and fine-needle aspiration cytology, all in an automated fashion. The respective application utilizes tensor-based data representations and deep learning architectural algorithms, to produce optimized models for the prediction of novel instances against each of these medical tests. This system has been designed in a way that all of its computation can be integrated seamlessly into a clinical setting, without posing any disruption to a clinician’s productivity or workflow, but rather an enhancement of their capabilities. This software can make the diagnostic process automated, standardized, faster, and even more accurate than current benchmarks achieved by both pathologists, and radiologists, which makes it invaluable from a clinical standpoint to make well-informed diagnostic decisions with nominal resources.


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檔案名稱 檔案大小 格式
190027.pdf 3 MB Adobe Reader(Pdf)檔案