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+<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><h1>Annotated Ultrasound Liver Images</h1>
+<p>This dataset contains a collection of annotated ultrasound images of the liver, designed to aid in the development of computer vision models for liver analysis, segmentation, and disease detection. The annotations include outlines of the liver and liver mass regions, as well as classifications into benign, malignant, and normal cases.</p>
+<p><strong>Creators:</strong><br>
+Xu Yiming, Zheng Bowen, Liu Xiaohong, Wu Tao, Ju Jinxiu, Wang Shijie, Lian Yufan, Zhang Hongjun, Liang Tong, Sang Ye, Jiang Rui, Wang Guangyu, Ren Jie, Chen Ting</p>
+<p><strong>Published:</strong> November 2, 2022<br>
+<strong>Version:</strong> v1<br>
+<strong>DOI:</strong> 10.5281/zenodo.7272660</p>
+<h2>Dataset Overview</h2>
+<p>This dataset provides ultrasound images of the liver with detailed annotations. The annotations highlight the liver itself and any liver mass regions present. The images are categorized into three classes:</p>
+<ul>
+<li><strong>Benign:</strong> Images showing benign liver conditions.</li>
+<li><strong>Malignant:</strong> Images showing malignant liver conditions.</li>
+<li><strong>Normal:</strong> Images of healthy livers.</li>
+</ul>
+<h2>Files Included</h2>
+<p>The dataset is organized into three zip files:</p>
+<ul>
+<li><strong>Benign.zip (16.9 MB):</strong> Contains ultrasound images classified as benign. (md5: c37fef0cb2730236a79ef57e5315995e)</li>
+<li><strong>Malignant.zip (46.9 MB):</strong> Contains ultrasound images classified as malignant. (md5: 63894a9e5654a69c3b94bda84071dfb0)</li>
+<li><strong>Normal.zip (6.6 MB):</strong> Contains ultrasound images of normal livers. (md5: a7e16299b2cf12ca4a6c3468d2e4978f)</li>
+</ul>
+<h2>Annotations</h2>
+<p>The ultrasound images have been annotated to show:</p>
+<ul>
+<li>Outlines of the liver.</li>
+<li>Regions of liver masses (where applicable).</li>
+</ul>
+<p>These annotations make the dataset suitable for tasks such as segmentation of the liver and liver masses, as well as classification of liver conditions.</p>
+<h2>Potential Uses</h2>
+<p>This dataset can be valuable for a variety of applications, including:</p>
+<ul>
+<li>Training and evaluating deep learning models for liver disease detection.</li>
+<li>Developing algorithms for automatic segmentation of the liver and liver masses in ultrasound images.</li>
+<li>Research in medical image analysis and computer-aided diagnosis.</li>
+<li>Educational purposes in medical imaging and related fields.</li>
+</ul>
+<h2>Copyright and Citation</h2>
+<p>This dataset is subject to copyright. Any use of the data must include appropriate acknowledgement and credit. Please contact the authors of the published data and cite the publication and the provided URL.</p>
+<p><strong>Citation:</strong></p>
+<p>Xu Yiming, Zheng Bowen, Liu Xiaohong, Wu Tao, Ju Jinxiu, Wang Shijie, Lian Yufan, Zhang Hongjun, Liang Tong, Sang Ye, Jiang Rui, Wang Guangyu, Ren Jie, &amp; Chen Ting. (2022). Annotated Ultrasound Liver images [Data set]. Zenodo. <a rel="noreferrer nofollow" aria-label="https://doi.org/10.5281/zenodo.7272660 (opens in a new tab)" target="_blank" href="https://doi.org/10.5281/zenodo.7272660">https://doi.org/10.5281/zenodo.7272660</a></p>
+<p><strong>APA Style Citation:</strong></p>
+<p>Xu, Y., Bowen, Z., Xiaohong, L., Tao, W., Jinxiu, J., Shijie, W., Yufan, L., Hongjun, Z., Tong, L., Ye, S., Rui, J., Guangyu, W., Jie, R., &amp; Ting, C. (2022). <em>Annotated Ultrasound Liver images</em> [Data set]. Zenodo. <a rel="noreferrer nofollow" aria-label="https://doi.org/10.5281/zenodo.7272660 (opens in a new tab)" target="_blank" href="https://doi.org/10.5281/zenodo.7272660">https://doi.org/10.5281/zenodo.7272660</a></p>
+<h2>License</h2>
+<p>Creative Commons Attribution 4.0 International</p>
+<p>We hope this dataset is helpful for your research and projects!</p>
+<h2>🙏 If you find this dataset useful, please consider giving it an <strong>upvote</strong>! 👍 Thank you! 😊</h2></div></div></div>
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