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Medical X-Ray Image Segmentation

2 papers with code · 0 benchmarks · 5 datasets archive 2025-07-28

Medical

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

ChestX-Det CheXmask CheXlocalize FracAtlas A collection of X-ray projections of 131 pieces of modeling clay containing stones for machine learning-driven object detection

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

X-Ray

Most implemented papers archive 2025-07-28

2 shown of 2 papers with code (2 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets

3 Dec 2018 2 repositories listed

X-Ray image enhancement, along with many other medical image processing applications, requires the segmentation of images into bone, soft tissue, and open beam regions.
TorchXRayVision: A library of chest X-ray datasets and models

31 Oct 2021 1 repository listed

TorchXRayVision is an open source software library for working with chest X-ray datasets and deep learning models.

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