From 85ad3b1ad29433841333598d7d065615b06f5e25 Mon Sep 17 00:00:00 2001
From: liviamarodrigues <42216594+liviamarodrigues@users.noreply.github.com>
Date: Thu, 14 Jul 2022 09:54:20 -0300
Subject: [PATCH] Update README.md

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 # An Introduction Tutorial to Medical Imaging Segmentation with Deep Learning
 
+It is not a mystery that medical images are a great tool in medicine. Besides being non-invasive, they are useful to diagnose, evaluate, and prevent diseases. Also, many physicians use medical images for research purposes. However, with the popularization of imaging methods, research centers are dealing with an increasing amount of data, that are costly to be manually analyzed. That`s when the medical imaging processing field is necessary. By using computational methods, engineers and computer science professionals can help physicians to diminish this bottleneck.
+Over the years, more researchers are joining the medical imaging processing field, however many struggle with basic concepts in the beginning of their career. 
+
 Here you find a a practical demonstration of basic principles described on our Tutorial Paper <link> according the workflow presented bellow:
 
 <img src=https://github.com/MICLab-Unicamp/Medical-Imaging-Tutorial/blob/main/workflow.png>