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Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients with Lung or Colon Cancer

Andrea G. Rockall,Xingfeng Li,Nicholas Johnson,Ioannis Lavdas,Shalini Santhakumaran,A. Toby Prevost,Shonit Punwani,Vicky Goh,Tara D. Barwick,Nishat Bharwani,Amandeep Sandhu,Harbir Sidhu,Andrew Plumb,James Burn,Aisling Fagan,Georg J. Wengert,Dow-Mu Koh,Krystyna Reczko,Qi Dou,Jane Warwick,Xinxue Liu,Christina Messiou,Nina Tunariu,Peter Boavida,Neil Soneji,Edward W. Johnston,Christian Kelly-Morland,Katja N. De Paepe,Heminder Sokhi,Kathryn Wallitt,Amish Lakhani,James Russell, Miriam Salib,Sarah Vinnicombe,Adam Haq,Eric O. Aboagye,Stuart Taylor,Ben Glocker

INVESTIGATIVE RADIOLOGY（2023）

Cited 0|Views36
Key words
whole-body MRI,diffusion-weighted imaging,T2-weighted imaging,cancer staging,machine learning,MRI segmentation,metastasis detection,diagnostic test performance,human-in-the-loop,radiology read-time
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