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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 ikRdXB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><h3>Content</h3>
+<p>The data is images and labels / annotations for mammography scans. More about the database can be found at <a rel="noreferrer nofollow" aria-label="MIAS (opens in a new tab)" target="_blank" href="http://peipa.essex.ac.uk/info/mias.html">MIAS</a>. The 'Preview' kernel shows how the Info.txt and PGM files can be parsed correctly.</p>
+<h3>Labels</h3>
+<ul>
+<li><p>1st column:<br>
+MIAS database reference number.</p></li>
+<li><p>2nd column:<br>
+Character of background tissue:<br>
+F  Fatty<br>
+G  Fatty-glandular<br>
+D  Dense-glandular</p></li>
+<li><p>3rd column:<br>
+Class of abnormality present:<br>
+CALC  Calcification<br>
+CIRC  Well-defined/circumscribed masses<br>
+SPIC  Spiculated masses<br>
+MISC  Other, ill-defined masses<br>
+ARCH  Architectural distortion<br>
+ASYM  Asymmetry<br>
+NORM  Normal</p></li>
+<li><p>4th column:<br>
+Severity of abnormality;<br>
+B  Benign<br>
+M  Malignant</p></li>
+<li><p>5th, 6th columns:<br>
+x,y image-coordinates of centre of abnormality.</p></li>
+<li><p>7th column:<br>
+Approximate radius (in pixels) of a circle enclosing the abnormality.<br>
+There are also several things you should note:<br>
+The list is arranged in pairs of films, where each pair represents the left (even filename numbers) and right mammograms (odd filename numbers) of a single patient.<br>
+The size of all the images is 1024 pixels x 1024 pixels. The images have been centered in the matrix.<br>
+When calcifications are present, centre locations and radii apply to clusters rather than individual calcifications. Coordinate system origin is the bottom-left corner.<br>
+In some cases calcifications are widely distributed throughout the image rather than concentrated at a single site. In these cases centre locations and radii are inappropriate and have been omitted.</p></li>
+</ul>
+<h3>Acknowledgements/LICENCE</h3>
+<p>MAMMOGRAPHIC IMAGE ANALYSIS SOCIETY<br>
+                    MiniMammographic Database<br>
+                      LICENCE AGREEMENT<br>
+This is a legal agreement between you, the end user and the<br>
+Mammographic Image Analysis Society ("MIAS"). Upon installing the <br>
+MiniMammographic database (the "DATABASE") on your system you are<br>
+agreeing to be bound by the terms of this Agreement.</p>
+<ol>
+<li>GRANT OF LICENCE<br>
+MIAS grants you the right to use the DATABASE, for research purposes <br>
+ONLY. For this purpose, you may edit, format, or otherwise modify the<br>
+DATABASE provided that the unmodified portions of the DATABASE included<br>
+in a modified work shall remain subject to the terms of this Agreement.</li>
+<li>COPYRIGHT<br>
+The DATABASE is owned by MIAS and is protected by United Kingdom<br>
+copyright laws, international treaty provisions and all other<br>
+applicable national laws. Therefore you must treat the DATABASE<br>
+like any other copyrighted material. If the DATABASE is used in any<br>
+publications then reference must be made to the DATABASE within that<br>
+publication.</li>
+<li>OTHER RESTRICTIONS<br>
+You may not rent, lease or sell the DATABASE.</li>
+<li>LIABILITY<br>
+To the maximum extent permitted by applicable law, MIAS shall not<br>
+be liable for damages, other than death or personal injury,<br>
+whatsoever (including without limitation, damages for negligence,<br>
+loss of business, profits, business interruption, loss of<br>
+business information, or other pecuniary loss) arising out of the<br>
+use of or inability to use this DATABASE, even if MIAS has been<br>
+advised of the possibility of such damages. In any case, MIAS's<br>
+entire liability under this Agreement shall be limited to the<br>
+amount actually paid by you or your assignor, as the case may be,<br>
+for the DATABASE.</li>
+</ol>
+<h3>Inspiration</h3>
+<p>Automatically finding lesions would be a very helpful tool for physicians, also predicting malignancy based on a found/marked lesion</p></div></div></div>
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