Accurate and reliable tumor estimation using Deep Learning

Computational pathology and image analytics have been used to develop a solution for automated analysis and annotation of H&E tissue samples, identifying the boundary of the tumor and precisely measuring tissue cellularity and tumor cell content. Philips® TissueMark has been designed specifically to support molecular pathology laboratories and has shown high levels of performance in lung cancer. The algorithms have now been expanded to automatically identify tumor in colorectal, melanoma, breast, and prostate tissue section. Trained on large datasets across multiple laboratories and using deep learning technology, the solution can drive automation of microdissection and quantitative analysis of percentage of tumor, providing an objective tissue quality evaluation for molecular pathology in solid tumors. more

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Brain metabolism analysis

Philips® CAD4D FDG provides a powerful and user-friendly solution for conducting advanced analysis of FDG-PET brain images in the differential diagnosis of dementia. The tool enables the detection of regions in the brain that exhibit significant hypo and hyper-metabolism, and allows for a quantitative comparison of identified patterns with specific disease databases. With its comprehensive features, this innovative software facilitates precise and insightful evaluation of FDG-PET brain images, thereby enhancing the diagnostic process in dementia research. more