Search Results for author: Tomasz Konopczyński

Found 6 papers, 1 papers with code

Mask Mining for Improved Liver Lesion Segmentation

no code implementations14 Aug 2019 Karsten Roth, Jürgen Hesser, Tomasz Konopczyński

We propose a novel procedure to improve liver and lesion segmentation from CT scans for U-Net based models.

Lesion Segmentation Tumor Segmentation

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

no code implementations6 Jan 2019 Tomasz Konopczyński, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser

Following their idea of feature learning instead of hand-crafted filters, we have extended the method to learn 3D features.

Dictionary Learning

Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans

no code implementations4 Jan 2019 Tomasz Konopczyński, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser

We present the first attempt to perform short glass fiber semantic segmentation from X-ray computed tomography volumetric datasets at medium (3. 9 {\mu}m isotropic) and low (8. 3 {\mu}m isotropic) resolution using deep learning architectures.

Semantic Segmentation

Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning

no code implementations4 Jan 2019 Tomasz Konopczyński, Thorben Kröger, Lei Zheng, Jürgen Hesser

We propose a novel approach for automatic extraction (instance segmentation) of fibers from low resolution 3D X-ray computed tomography scans of short glass fiber reinforced polymers.

3D Instance Segmentation Semantic Segmentation

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