PatchSorter

PatchSorter integrates deep learning with an intuitive web interface for high-throughput object labeling in digital pathology images.

Key Features:

• Deep Learning Integration: The tool incorporates deep learning to accelerate histological object labeling.
• High-Throughput Labeling: Demonstrated >7x improvement in labels per second over unaided labeling using >100,000 objects.
• Labeling Accuracy Maintenance: Achieves speed improvement with minimal impact on labeling accuracy.

Scientific Applications:

• Histological Object Labeling: Enables high-throughput labeling of large datasets of histological objects for digital pathology analysis.
• Pattern Discovery Support: Facilitates identification of patterns associated with diagnosis, prognosis, and therapy response in digital pathology images.

Methodology:

PatchSorter integrates deep learning with a web interface; specific computational methods are not detailed in the sources.