NIGMS/Biomedical-Imaging-Analysis-using-AI-ML-Approaches

Machine Learning module for cloud-based analyses developed as part of the NIGMS Sandbox Project

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Emerging

This module helps biomedical researchers analyze imaging and tabular data using artificial intelligence. It takes various biomedical datasets as input and produces insights like image classifications (e.g., cancer detection), segmented images (e.g., cell outlines), or continuous predictions (e.g., tumor size). This is for scientists, lab technicians, and clinicians who work with biological or medical data and want to use advanced computational methods to uncover hidden patterns.

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Use this if you are a biomedical researcher looking to understand and apply deep learning techniques like image classification, segmentation, or regression to your experimental data.

Not ideal if you are looking for a ready-to-use software application; this module is designed for learning and implementing AI concepts rather than immediate deployment for routine analysis.

biomedical-imaging pathology-analysis cell-segmentation cancer-research biological-pattern-recognition
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 16 / 25

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Last pushed

Jun 06, 2025

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