The Medical Imaging Group of Perceptive Informatics offers a range of capabilities in the application of imaging techniques from early clinical development through peri-approval studies.

Artificial Intelligence (AI) has rapidly emerged as a transformative technology in healthcare, particularly in medical image processing. Medical imaging ...

Microscope image acquisition / Stephanie L. Ellenberger and Ian T. Young -- Biological image processing and enhancement / G.W. Horgan, C.A. Reid, and C.A. Glasbey -- Image analysis : quantitative ...

Confocal Microscopy and Image Analysis Core The Confocal Microscopy and Image Analysis Core provides instrumentation and expertise to support the acquisition, processing and analysis of both ...

Study principles and applications of medical imaging systems and medical image processing techniques. Understand the propagation of radiation in the human body.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Quantitative analysis of bioimaging data is often skewed by both shading in space and background variation in time. We introduce BaSiC, an image correction method based on low-rank and sparse ...

Complex image processing is not a built-in MATLAB feature. While you can upload, save and perform basic image processing tasks in the main MATLAB program, additional tools make complex image ...

Google has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the ...