Alle Papers – Medizinische Bildsegmentierung

Brain tumor segmentation with Deep Neural Networks

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

A survey of medical image registration

Shape modeling with front propagation: a level set approach

What energy functions can be minimized via graph cuts?

Lucas-Kanade 20 Years On: A Unifying Framework

Holistically-Nested Edge Detection

Seeded region growing

A Comparison of Affine Region Detectors

Mutual-information-based registration of medical images: a survey

A unified statistical approach for determining significant signals in images of cerebral activation

Remote Sensing Digital Image Analysis

Learning Hierarchical Features for Scene Labeling

Image Analysis Using Mathematical Morphology

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

Quantitative stereology

A survey of thresholding techniques

Digital Image Processing

Non-negative Matrix Factorization with Sparseness Constraints

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

Random Walks for Image Segmentation

Topological structural analysis of digitized binary images by border following

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation

The Mathematics of Computerized Tomography

Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response