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Median Newsletter - Summer 2018

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Innovations in Cancer Screening

Innovations in Cancer Screening: How advances in imaging technology and the use of artificial intelligence and analytics are improving the accuracy and cost of medical imaging for early cancer diagnosis, and increasing confidence in vital preventive screening programs.

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START saves study costs using Median’s Lesion Management Solutions (LMS) software

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DUALTAIL-NET for Liver Segmentation on Abdominal CT Images

Vladimir Groza [1], Johan Brag [1], Michael Auffret [1] - Affiliations: [1]: Median Technologies, Valbonne, France

Poster presented at The IEEE International Symposium on Biomedical Imaging (ISBI) 2019 | Venice, Italy | April 8-11, 2019
In clinical trials, the evaluation of CT/MRI images is usually done manually or with the use of semi-automatic segmentation techniques. Liver segmentation, as well as segmentations of other organs such as prostate, lung, is a crucial step in computer-aided systems for cancer detection. In order to improve the quality and performance of diagnosis computer-aided systems became popular, where deep learning approach demonstrates its potential and strengths as robust and powerful tool in particular for medical image segmentation. This work presents a novel deep convolutional neural network architecture DualTail-Net in application for automatic liver segmentation on abdominal CT images.

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