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biomedical-imaging

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DivyaKarade / Global-AI-Kaggle-Hackathon-2025-Elucidata

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🎯 Top 204 solution for Elucidata AI Challenge 2025 – Predicting spatial cell-type composition from histology images using CNNs with EfficientNet & ResNet backbones, multi-scale patching, and coordinate-aware ensemble modeling.

computer-vision cheminformatics tensorflow kaggle-competition deep-learning-algorithms image-analysis cnn-classification ensemble-machine-learning resnet50 spatial-transcriptomics feature-fusion histopathology biomedical-imaging efficientnet cell-type-prediction
  • Updated Jul 17, 2025
  • Python

ianochieng25 / PanNuke-cell-core-region-identification-with-DINO

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🧬 Implement nuclei segmentation and classification using DINO self-supervision for histopathology images in a streamlined deep learning pipeline.

machine-learning research computer-vision deep-learning pytorch scientific-computing neural-networks image-segmentation data-augmentation biomedical-imaging cell-identification ai-models pannuke dinotransformers region-identification
  • Updated Dec 22, 2025
  • Python

alphaloop94 / Global-AI-Kaggle-Hackathon-2025-Elucidata

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🔬 Predict spatial cell-type compositions in histology images using deep learning. Leverage CNNs with TensorFlow and Keras for accurate results in cell analysis.

computer-vision cheminformatics tensorflow kaggle-competition deep-learning-algorithms image-analysis cnn-classification ensemble-machine-learning resnet50 spatial-transcriptomics feature-fusion histopathology biomedical-imaging efficientnet cell-type-prediction
  • Updated Dec 22, 2025
  • Python

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