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MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Affiliation:1. Mathematics for Real World Systems Centre for Doctoral Training, University of Warwick, Coventry, CV4 7AL, UK;2. Department of Computer Science, University of Warwick, UK;3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, China;4. Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK;5. The Alan Turing Institute, London, UK;1. Division of Molecular Pathology, The Institute of Cancer Research, UK;2. Department of Computer Science, University of Warwick, UK;3. School of Life Sciences, University of Warwick, UK;4. Department of Mathematics, University of Warwick, UK;5. Department of Pathology, University Hospitals Coventry and Warwickshire, UK;6. The Alan Turing Institute, London, UK;7. Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK;1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China;2. School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China;1. DIAPath, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium;2. Laboratories of Image, Signal processing & Acoustics, Université Libre de Bruxelles (ULB), CPI 165/57, Avenue Franklin Roosevelt 50, Brussels 1050 , Belgium;3. Department of Pathology, Erasme Hospital, Université Libre de Bruxelles (ULB), Route de Lennik 808, Brussels 1070, Belgium;4. MIP, Center for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), CPI 305/1, Rue Adrienne Bolland, 8, 6041 Gosselies, Belgium;1. Physical Sciences, Sunnybrook Research Institute, Toronto, Canada;2. Department of Medical Biophysics, University of Toronto, Canada;1. Department of Computer Science, Rutgers University, Piscataway, NJ 08854, USA;2. Lieber Institute for Brain Development, MD 21205, USA
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