Exploring the world of medical imaging through projects and research. From disease classification in chest X-rays to accurate detection, localization, and segmentation of various conditions. Join me in my journey to advance healthcare through innovative image analysis. Learning journals included.
Welcome to my Medical Imaging Exploration Repository! This repository serves as a comprehensive collection of projects, research endeavors, and learning experiences throughout my journey in the field of medical imaging. Here, you'll find a diverse range of work that spans the realm of healthcare and image analysis.
- Disease Classification: Delve into projects showcasing the classification of different diseases using chest X-ray images. Witness how advanced machine learning techniques are applied to aid in the accurate identification of various medical conditions.
- Disease Detection and Localization: Explore research and experiments dedicated to the detection and localization of diseases within medical images. Discover innovative methods for pinpointing anomalies and improving diagnostic accuracy.
- Disease Segmentation: Uncover projects centered around the segmentation of various diseases within medical images. Gain insights into how image processing and deep learning techniques contribute to the precise delineation of affected areas.
In addition to the projects, this repository also hosts my personal learning journals. These journals provide a glimpse into my learning process, documenting challenges, breakthroughs, and insights gained while working on medical imaging problems. It's an opportunity for me to share my growth and reflections with the community.
Join me on this exciting journey at the intersection of medical science, technology, and image analysis. Together, let's push the boundaries of medical imaging and contribute to enhanced healthcare diagnostics and patient care.
Feel free to explore, learn, and collaborate. Your feedback and insights are greatly appreciated as we embark on this transformative exploration of medical imaging.
Dataset link -> https://www.kaggle.com/datasets/tschandl/isic2018-challenge-task1-data-segmentation?select=ISIC2018_Task1-2_Test_Input