Data: Image Specialty: Radiology Medical Imaging Technique: X-Ray Medical Imaging Region: Chest Clinical Purpose: Diagnosis Task: Classification License: Other

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-<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><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-fHzVOS cUYeeo"><div class="sc-davvxH nUNNB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><h3>General</h3>
+<div class="sc-kdrUpr eZtUed"><div class="sc-UEtKG dGqiYy sc-hDzlxo bEIZRR"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">Starting Points Chest X-Ray</h2></div></div></div><div class="sc-fHzVOS cUYeeo"><div class="sc-davvxH nUNNB"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-jCNfQM igJSrG"><h3>General</h3>
 <p>Since imageNet weights are not ideal as a starting point for this task. I have retrained the model on the chest X dataset. You can use the models here as a starting point for your training. that will significantly boost your CV and LB. Unfortunately, I will not share the trained models for two reasons.<br>
 1-    Keep the LB stable.<br>
 2- A lot  of Kagglers are just copying the notebook and using the weights. "which was really disappointing" </p>