基于卷积神经网络的医学术语识别与检测

Dr. Aziz Makandar and Nayan Jadhav
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摘要

本综述的目的是检查和评估在医学图像模态处理中用于机器视觉工作的ocr系统的研究和开发中遇到的障碍。在这方面,本研究总结了OCR的规划,指出了医学图像模态中字符识别模型设计的挑战,特别关注这些图像中的文本数据,最后提供了该技术在卫生系统中的好处,以及可能的未来研究方向
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition and Detection of Medical Term using Convolutional Neural Network
The purpose of this review is to examineand assess the obstacles that have been encountered in the research and development of OCR systems for machin evision jobs in the processing of medical image modalities. In this regard, this study summarizes a planning appropriate of OCR ,identifies challenges in the design of character recognition models in medical image modalities, with special attention to text data in these images, and, finally, provides benefits of this technology in the health system, as well as possible future research directions
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