Alle Papers – Medizinische Bildsegmentierung

An Improved Histogram of Edge Local Orientations for Sketch-Based Image Retrieval

Contextual and non-contextual performance evaluation of edge detectors

FATFusion: A functional–anatomical transformer for medical image fusion

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network

Extraction of structural information from grey pictures

Complex Daubechies wavelets: properties and statistical image modelling

Some experiments in relaxation image matching using corner features

A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography

Hybrid Loss Guided Convolutional Networks for Whole Heart Parsing

MOTION SEGMENTATION BY SUBSPACE SEPARATION: MODEL SELECTION AND RELIABILITY EVALUATION

An Effective Semi-Supervised Approach for Liver CT Image Segmentation

Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing

Evaluation of modified adaptive k-means segmentation algorithm

Joint Segmentation and Deformable Registration of Brain Scans Guided by a Tumor Growth Model

Deep learning neural networks for medical image segmentation of brain tumours for diagnosis: a recent review and taxonomy

Tensor Product Complex Tight Framelets with Increasing Directionality

Automatic liver segmentation by integrating fully convolutional networks into active contour models

A fast histogram-clustering approach for multi-level thresholding

Selective and multi-scale fusion Mamba for medical image segmentation

Spectral extrapolation of spatially bounded images [MRI application]

3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach

A locally adaptive region growing algorithm for vascular segmentation

A Methodology for Near-Optimal Computational Superimposition of Two-Dimensional Digital Facial Photographs and Three-Dimensional Cranial Surface Meshes

Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk

Brain tumor segmentation and classification on MRI via deep hybrid representation learning