<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Necrosis detection | Harshita Sharma</title><link>https://www.drharshitasharma.com/tags/necrosis-detection/</link><atom:link href="https://www.drharshitasharma.com/tags/necrosis-detection/index.xml" rel="self" type="application/rss+xml"/><description>Necrosis detection</description><generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>&amp;copy 2024 Dr. Harshita Sharma. All Rights Reserved.</copyright><lastBuildDate>Sun, 01 Oct 2017 00:00:00 +0000</lastBuildDate><image><url>img/map[gravatar:%!s(bool=false) shape:circle]</url><title>Necrosis detection</title><link>https://www.drharshitasharma.com/tags/necrosis-detection/</link></image><item><title>Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology</title><link>https://www.drharshitasharma.com/publication/sharma-deep-2017/</link><pubDate>Sun, 01 Oct 2017 00:00:00 +0000</pubDate><guid>https://www.drharshitasharma.com/publication/sharma-deep-2017/</guid><description>&lt;hr>
&lt;h1 id="bibtex">BibTex&lt;/h1>
&lt;pre>&lt;code>@article{sharma_deep_2017,
title = {Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology},
author = {Sharma, Harshita and Zerbe, Norman and Klempert, Iris and Hellwich, Olaf and Hufnagl, Peter},
doi = {10.1016/j.compmedimag.2017.06.001},
issn = {0895-6111},
journal = {Computerized Medical Imaging and Graphics},
language = {en},
pages = {2--13},
series = {Selected papers from the 13th European Congress on Digital Pathology},
url = {http://www.sciencedirect.com/science/article/pii/S0895611117300502},
urldate = {2020-03-04},
volume = {61},
year = {2017}
}
&lt;/code>&lt;/pre>
&lt;hr></description></item></channel></rss>