Alle Papers – Medizinische Bildsegmentierung

Optimal segmentation of microcomputed tomographic images of porous tissue‐engineering scaffolds

Efficient and accurate computation of geometric moments on gray-scale images

3D MRI Brain Tumor Segmentation Using Autoencoder Regularization

Multiprocessor Methods for Computer Graphics Rendering

Rotation-Invariant Local Feature Matching With Complex Wavelets

Slim UNETR: Scale Hybrid Transformers to Efficient 3D Medical Image Segmentation Under Limited Computational Resources

A combined region growing and deformable model method for extraction of closed surfaces in 3D CT and MRI scans

Robust and Accurate Eye Contour Extraction

A stereotaxic, population-averaged T1w ovine brain atlas including cerebral morphology and tissue volumes

A flexible algorithm for construction of 3-D vessel networks for use in thermal modeling

Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks

Temporal sparse free-form deformations

<title>Euclidean skeletons and conditional bisectors</title>

Enhancement, Extraction, and Visualization of 3D Volume Data

Color Texture Segmentation Based on the Modal Energy of Deformable Surfaces

Hierarchical segmentation of vertebrae from x-ray images

Statistical models of currents for measuring the variability of anatomical curves, surfaces and their evolution

Time course of cerebral blood flow and histological outcome after focal cerebral ischemia in rats.

Comparison of Gray-Level Reduction and Different Texture Spectrum Encoding Methods for Land-Use Classification Using a Panchromatic Ikonos Image

Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs

Recursive filtering and edge closing: Two primary tools for 3D edge detection

HMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm

A review of segmentation and deformable registration methods applied to adaptive cervical cancer radiation therapy treatment planning

Deep pancreas segmentation with uncertain regions of shadowed sets

Interactive segmentation of medical images through fully convolutional neural networks