Search Tag: Machine Learning

IMAGING Management

2024 02 Mar

Multidetector computed tomography (MDCT) accompanied by its multiple postprocessing capabilities (maximum intensity projection, multiplanar reconstruction, and volume-rendering technique) provides an alternative non-invasive imaging modality. Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics—the...Read more

IMAGING Management

2024 01 Mar

  With more than 60 sessions dedicated to AI and machine learning, this new technology is definitely the centrepiece of this year’s edition of ECR. This session chaired by Daniela Baditescu (Romania) showcases the efforts and initiatives undertaken in the field, spanning from the establishment of federated infrastructures for cancer imaging to the...Read more

IMAGING Management

2023 08 May

The EuSoMII Annual Meeting 2023 'AI: Connecting the dots' is taking place on 13-14 OCT 2023 at the M.A.C.C. - Meeting Art and Craft Center in Pisa, Italy   An exciting Program that includes Didactic lectures, Scientific talks, Panel discussions and Joint Sessions with friend societies will be presented by Top speakers and AI leaders...Read more

IMAGING Management

2023 13 Oct

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IMAGING Management

2020 24 Oct

NOW A VIRTUAL EVENT  NEW DATES 24 OCTOBER, 2020 Find EUSOMii on Social Media Read more

IMAGING Management

2019 18 Dec

Researchers in New Zealand are combining machine learning (ML) and standard imaging to improve both diagnosis and treatment of breast cancer.   You might also like: RSNA 2019: Biennial Mammography Screening Yields More Advanced-Stage Cancers   The Auckland Bioengineering Institute, Science and technology, Health and medicine Researchers...Read more

IMAGING Management

2017 02 May

Health authorities in the UK are developing regional initiatives to make significant improvement to health and care. The needs look beyond departmental and organizational boundaries, focusing on the needs of the local population.[1] (These initiatives are called STPs, sustainability and transformational plans). In this article, Chris Scarisbrick,...Read more