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leukemia-detection

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SobanHM / Anemia_Leukemia_Diseases_Prediction

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This repository presents a dual-disease diagnostic system using Gradient Boosting Machines (XGBoost & LightGBM) on clinical blood parameters. The system demonstrates 100% accuracy for both disease predictions by employing target realignment, class imbalance correction, and feature importance analysis. The pipeline is intended as a decision-support.

machine-learning lightgbm xgboost-classifier anemia-detection leukemia-detection
  • Updated Dec 28, 2025
  • Python

tagorekanuri / Acute-Lymphoblastic-Leukemia-Detection

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Hybrid ML pipeline using FCM segmentation, EfficientNetB4 feature extraction, and XGBoost for leukemia detection.

python machine-learning deep-learning tensorflow kaggle medical-imaging xgboost fcm image-segmentation kaggle-dataset machine-learning-models xgboost-model machine-learning-projects xgboost-classifier medical-imaging-with-deep-learning medical-imaging-classification deep-learning-projects medical-imaging-segmentation leukemia-detection
  • Updated Dec 6, 2025
  • Jupyter Notebook

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