m. Deep Learning Based Object Recognition Techniques fo

于 2023-09-20 09:37:08 发布

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分类专栏： Python实战 AI人工智能与大数据文章标签：大数据人工智能语言模型 Java Python 架构设计

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本文探讨了深度学习在医疗影像分析中的应用，尤其是针对疾病诊断和预测。研究涉及CNN、ResNet和LSTM等算法，并通过定制方法提高了特定疾病检测任务的性能。文章介绍了深度学习的基本概念，包括预处理流程、模型设计，并强调了在医疗环境中应用深度学习所面临的挑战和解决方案。

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作者：禅与计算机程序设计艺术

1.简介

Deep learning has revolutionized the field of computer vision and image processing by enabling machine learning models to learn from large datasets without hand-crafted features or labeled data. In this paper, we will explore deep learning based object recognition techniques for applications in healthcare industry such as diagnosis and prognosis of diseases using chest X-ray images. We have reviewed a few state-of-the-art algorithms including convolutional neural networks (CNN), residual networks, and long short-term memory networks (LSTM). Moreover, we have developed several customized methods on top of these traditional architectures to enhance their performance on specific disease detection tasks. Our experimental results show th