Ngā hua rapu - David Snead

Large multimodal model‐based standardisation of pathology reports with confidence and its prognostic significance mā Ethar Alzaid, Gabriele Pergola, Harriet Evans, David Snead, Fayyaz Minhas

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The use of digital pathology and image analysis in clinical trials mā Robert Pell, Karin Oien, Max Robinson, Helen Pitman, Nasir Rajpoot, Jens Rittscher, David Snead, Clare Verrill, on behalf of the UK National Cancer Research Institute (NCRI)

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Guidance for remote reporting of digital pathology slides during periods of exceptional service pressure: An emergency response from the UK royal college of pathologists mā Bethany Jill Williams, David Brettle, Muhammad Aslam, Paul Barrett, Gareth Bryson, Simon Cross, David Snead, Clare Verrill, Emily Clarke, Alexander Wright, Darren Treanor

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AI‐based intra‐tumor heterogeneity score of Ki67 expression as a prognostic marker for early‐stage ER+/HER2− breast cancer mā Wenqi Lu, Ayat G Lashen, Noorul Wahab, Islam M Miligy, Mostafa Jahanifar, Michael Toss, Simon Graham, Mohsin Bilal, Abhir Bhalerao, Nehal M Atallah, Shorouk Makhlouf, Asmaa Y Ibrahim, David Snead, Fayyaz Minhas, Shan E Ahmed Raza, Emad Rakha, Nasir Rajpoot

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Semantic annotation for computational pathology: multidisciplinary experience and best practice recommendations mā Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat G Lashen, Asmaa Y Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas

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