
CVD-Dermoscopic-Image-ICL-GPT4
How LLM can help in color-sensitive medical cases. Compensate the communication gap between CVD physicians and patients.
Learn moreWelcome to my project gallery, where interdisciplinary innovation meets real-world applications. This collection showcases my work in AI, computer vision, data science, and biomedical informatics, with projects spanning healthcare, neuroscience, and machine learning. Each initiative reflects my commitment to advancing technology's role in understanding complex systems, enhancing clinical decision-making, and creating data-driven solutions. Explore these projects to see how I blend research and practical problem-solving across diverse domains, pushing the boundaries of what's possible in both science and technology.
How LLM can help in color-sensitive medical cases. Compensate the communication gap between CVD physicians and patients.
Learn moreThis project aims to classify dermoscopic images as melanoma or benign using few-shot learning techniques.
Learn moreThis project systematically evaluated how ChatGPT can interpret the Scientific figures.
Learn moreA computational explanation for face-learning behaviors by using deep artificial neural networks
Learn moreAn image processing based morning glory detection tool with Matlab UI
Learn moreThis project compare and link the sparse coding of face identities between human neurons and DNN units.
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