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cancer-histology-project

Classifying cancerous tissues into eight categories using multiple methods for accurate diagnosis.

covid19-dashboard-project

Analyze and visualize data on the sick and deceased individuals from the COVID-19 pandemic, aiming to uncover trends and correlations over time.

histopathology-images-classification

image-processing-project

Image Segmentation Project- using CT scans in DICOM format, as part of a 'Biomedical Image Processing' course

patient-data-management-project

Developing a cloud-based system using Express.js and Node.js to manage chronic patient data, integrate with cloud services for image verification and chat functionality, and provide symptom-based initial diagnosis.

ppg-bp-project

Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:

stroke-prediction-project

Predicting stroke events during hospitalization using medical datasets and developing a decision support system for optimized treatment.