Improving medical imaging analysis using advanced deep learning techniques
Fast and Robust Deep Learning for Medical imaging: Segmentation and Registration methods invariant to contrast and resolution
['FUNDING_R01'] · MASSACHUSETTS GENERAL HOSPITAL · NIH-10922812
This study is working on new technology to help doctors get better and faster insights from medical images, which could lead to more accurate diagnoses and tailored treatment plans for patients.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MASSACHUSETTS GENERAL HOSPITAL (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-10922812 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the accuracy and efficiency of medical imaging analysis through advanced deep learning methods for segmentation and registration. It aims to develop tools that can analyze various types of medical images without being limited by contrast or resolution differences. By addressing the computational demands and biases of existing tools, this project seeks to create a more versatile imaging analysis framework that can be applied across different medical conditions and imaging modalities. Patients may benefit from improved diagnostic accuracy and personalized treatment plans as a result of this innovative approach.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing medical imaging procedures, particularly those requiring diverse imaging modalities.
Not a fit: Patients who do not require medical imaging or those with conditions that do not involve imaging analysis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and efficient medical imaging analyses, improving patient diagnosis and treatment outcomes.
How similar studies have performed: Previous research has shown promising results using deep learning techniques for medical imaging, indicating a strong potential for success in this area.
Where this research is happening
BOSTON, UNITED STATES
- MASSACHUSETTS GENERAL HOSPITAL — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: DALCA, ADRIAN — MASSACHUSETTS GENERAL HOSPITAL
- Study coordinator: DALCA, ADRIAN
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.