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wbgreen0405 SIIM-ACR-Pneumothorax-Segmentation - GitHub Kaggle competition to identify pneumothorax disease on chest X-rays and, if present, segment it The dataset consists of chest X-ray images (DICOM format) and segmentation masks (RLE-encoded), provided via Google Healthcare Cloud
SIIM-ACR-Pneumothorax|医学影像数据集|气胸诊断数据集 In this competition, you’ll develop a model to classify (and if present, segment) pneumothorax from a set of chest radiographic images If successful, you could aid in the early recognition of pneumothoraces and save lives
Automated pneumothorax segmentation and quantification algorithm based . . . The model, with its obtained parameters, was subsequently deployed for inferencing on the SIIM-ACR pneumothorax dataset This strategy aimed to leverage the learned features to produce accurate lung segmentations, a fundamental step in precisely calculating the pneumothorax ratio
Lung Segmentation Dataset | AI-Powered Chest X-ray Image Explore the Pneumothorax Chest X-ray Lung Segmentation Dataset, featuring 2,669 high-resolution chest X-ray images (1024x1024) with segmentation masks for pneumothorax detection and medical AI research