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Medical Imaging AI – Image Segmentation using Deep Lear

作者:禅与计算机程序设计艺术

1.简介

Image segmentation is one of the key tasks in medical image analysis and computer vision that involves dividing an entire image into multiple parts or regions based on some criteria such as color, texture, shape, etc., so that each region represents a different object or structure present in the image. It helps to extract relevant information from medical images for various applications like detection, diagnosis, surgery planning, treatment planning, tracking objects through time, analyzing tumor growth patterns, and many more. In this article, we will discuss how can we perform image segmentation using deep learning techniques and show you step-by-step code examples using Python programming language.<|im_sep|> In recent years, artificial intelligence (AI) has revolutionized various fields such as medicine, engineering, and finance. Computer Vision (CV) and Natural Language Processing (NLP) are two of the most popular area


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