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Artificial Intelligence 2025-03-25

Advanced Deep Learning in Medical Imaging

A deep learning-based automated workflow for accurate segmentation and measurement of abdominal organs in CT scans, providing comprehensive organ analysis capabilities that support diagnostic workflows and treatment planning.

5C Network Research Team · arXiv · DOI: 10.48550/arXiv.2503.10717

Key Findings

  • Automated segmentation of abdominal organs achieves radiologist-level accuracy on CT scans
  • Quantitative measurements enable objective tracking of organ size changes over time
  • End-to-end workflow from DICOM input to structured measurements reduces manual annotation burden
  • Validated across multiple scanner types and imaging protocols used in Indian hospitals
Read Full Paper on arXiv

Related Research

From the lab to the worklist

This research runs in production.

The methods described here are part of Bionic, the AI layer that pre-reads every study 5C reports — 15,000+ scans a day across 2,000+ facilities, each one signed by an NMC-registered radiologist.