Alle Papers – Medizinische Bildsegmentierung

Toward Objective Evaluation of Image Segmentation Algorithms

Multiple Resolution Texture Analysis and Classification

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

Brain tumor classification for MR images using transfer learning and fine-tuning

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

On the origin of the bilateral filter and ways to improve it

Dominant Local Binary Patterns for Texture Classification

Robust linear programming discrimination of two linearly inseparable sets

Natural Image Denoising with Convolutional Networks

Three-dimensional ultrasound imaging

A comparison of similarity measures for use in 2-D-3-D medical image registration

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

Distance transformations in arbitrary dimensions

SOLO: Segmenting Objects by Locations

Quantitative design and evaluation of enhancement/thresholding edge detectors

Neuronal morphometry directly from bitmap images

Richer Convolutional Features for Edge Detection

Tensor completion and low-n-rank tensor recovery via convex optimization

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences

Regularization of Inverse Visual Problems Involving Discontinuities

Edge Detection Techniques-An Overview

Richer Convolutional Features for Edge Detection

High-Order Total Variation-Based Image Restoration