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3d-image-analysis

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EngrEeshaKhan / CZII-CryoET-Object-Identification

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This project builds machine learning models to automatically detect and classify protein complexes in cryo-electron tomography (cryoET) images, enabling scalable analysis of cellular structures and supporting advanced biological and medical research.

bioinformatics deep-learning image-processing pytorch medical-imaging scientific-computing yolo protein-identification 3d-object-detection cryoet biomedical-ai 3d-image-analysis cryo-electron-tomography 3d-yolo
  • Updated Nov 24, 2025
  • Jupyter Notebook

engrsabakhan / -CryoET-Object-Identification-Advancing-3D-Protein-Complex-Annotation

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Automated detection of protein complexes in cryo-electron tomography (cryoET) data. ML models identify five particle classes using a weighted F-β (β=4) metric focused on recall, especially for hard targets, helping reveal cellular “dark matter” and advance biological discovery.

bioinformatics computer-vision kaggle-competition synthetic-data cryoem cryoet electron-tomography 3d-image-analysis f-beta-score
  • Updated Nov 24, 2025
  • Jupyter Notebook

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