PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
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Updated
May 11, 2022 - Python
PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)
Sparrow AI - API for disease diagnostics
Medical Diagnostic Module Programmed with Python and using Fuzzy Logic
A medical diagnosis system
This project uses data mining and ML to enhance liver disease detection. Analyzing clinical markers like bilirubin and enzymes from the ILPD dataset , I compared six models. Random Forest proved most accurate at 72.57% , offering a non-invasive tool for early diagnosis and better patient care.
Advanced machine learning system for diabetes risk prediction using clinical biomarkers and patient health data
CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. π©Ίβ¨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. π
A Clinical Decision Support System (CDSS) for psychiatric/neurological triage, powered by AI and synthetic data.
CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. π©Ίβ¨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. π
Open to custom development. AI Assistant for Radiology (MRI + CT).
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