The Division of Medical Image Computing (MIC) uses machine learning to improve cancer patient care by analyzing imaging information from various technologies. As co-coordinator of Helmholtz Imaging (HI), we focus on semantic segmentation, object detection, and probabilistic modeling. Our research software system and infrastructure support national and international clinical research networks. We translate machine learning advances into clinical applications to advance healthcare. We prioritize techniques that improve data science in clinical settings for more interpretable decision-making, data uncertainty handling, and algorithm generalizability. We promote open science and maintain open source projects to share our advances.
#medicalimaging #machinelearning #healthcare
Company Details
- Employees
- 13
- Address
- Im Neuenheimer Feld 223, Heidelberg,baden-Württemberg 69120,germany
- Industry
- Public Health
- NAICS
-
Administration of Public Health Programs
- Keywords
- Similar pages.
- HQ
- Heidelberg, Baden-Württemberg
- Competitors
- MICCAI Society, Helmholtz Imaging, IEEE Transactions on Medical Imaging (TMI), HIDSS4Health - Helmholtz Information & Data Science School For Health, NCT Heidelberg - National Center for Tumor Diseases (NCT) Heidelberg, AI Health Innovation Cluster, Max Planck Institute for Medical Research, Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI), Society for Imaging Informatics in Medicine (SIIM), MIDL Conference.
Medical Image Computing (Mic) @dkfz German Cancer Research Center Questions
Medical Image Computing (Mic) @Dkfz German Cancer Research Center's LinkedIn profile is https://de.linkedin.com/company/medical-image-computing
Medical Image Computing (Mic) @Dkfz German Cancer Research Center has
13 employees.
View email and phone details for 13
employees at Medical Image Computing (Mic) @Dkfz German Cancer Research Center.
Medical Image Computing (Mic) @Dkfz German Cancer Research Center's industry is
Public Health
Medical Image Computing (Mic) @Dkfz German Cancer Research Center's top competitors are
Miccai Society,
Helmholtz Imaging,
Ieee Transactions On Medical Imaging (Tmi),
Hidss4health - Helmholtz Information & Data Science School For Health,
Nct Heidelberg - National Center For Tumor Diseases (Nct) Heidelberg,
Ai Health Innovation Cluster,
Max Planck Institute For Medical Research,
Stanford Center For Artificial Intelligence In Medicine And Imaging (Aimi),
Society For Imaging Informatics In Medicine (Siim),
Midl Conference.
Medical Image Computing (Mic) @Dkfz German Cancer Research Center's categories are Public Health
