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Updated: May 7, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Published on: November 30, 2022

Viewpoints on Medical Image Processing: From Science to Application.

Thomas M Deserno Né Lehmann1, Heinz Handels, Klaus H Maier-Hein Né Fritzsche

  • 1Department of Medical Informatics, Uniklinik RWTH Aachen, Germany;

Current Medical Imaging Reviews
|October 1, 2013
PubMed
Summary
This summary is machine-generated.

This review analyzes 15 years of medical image processing advancements, highlighting key trends in multi-modality imaging, diffusion-weighted imaging analysis, and integrated diagnostic applications.

Keywords:
Diffusion-weighted imagingDigital endoscopyImage analysisImage processingMedical imagingModel-based imagingMulti-modal imagingRegistrationRobotics.Virtual realityVisualization

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Area of Science:

  • Medical image processing
  • Medical imaging
  • Medical image computing

Background:

  • The German annual meeting on medical image processing (BVM) proceedings over the past 15 years showcase significant scientific and application-based developments.
  • Expert perspectives from program committee members offer insights into critical areas of medical imaging.

Purpose of the Study:

  • To analyze recent scientific and application-driven advancements in medical image processing over the last fifteen years.
  • To provide an overview of key trends and future directions in medical imaging and image computing.

Main Methods:

  • Review of the proceedings of the German annual meeting on medical image processing (BVM) from the past 15 years.
  • Compilation of personal viewpoints from program committee members on specific subfields.

Main Results:

  • Identification of key development areas including multi-modality imaging, diffusion-weighted imaging analysis, model-based image analysis, image registration, digital endoscopy information extraction, and virtual reality/robotics applications.
  • Analysis of trends indicating a rapid development in medical imaging and computing.

Conclusions:

  • Medical image processing is a core innovation driving advancements in medical imaging.
  • Clear trends point towards integrated applications in diagnostics, treatment planning, and treatment delivery.