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pro vyhledávání: '"Gilbert, Fiona J"'
Autor:
Yuan, Shuaiyu, Whitmarsh, Tristan, Kessler, Dimitri A, Arponen, Otso, McLean, Mary A, Baxter, Gabrielle, Riemer, Frank, Kennerley, Aneurin J, Brackenbury, William J, Gilbert, Fiona J, Kaggie, Joshua D
New multinuclear MRI techniques, such as sodium MRI, generally suffer from low image quality due to an inherently low signal. Postprocessing methods, such as image denoising, have been developed for image enhancement. However, the assessment of these
Externí odkaz:
http://arxiv.org/abs/2408.16481
Autor:
Yang, Yijun, Wang, Shujun, Liu, Lihao, Hickman, Sarah, Gilbert, Fiona J, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I.
Breast cancer is a major cause of cancer death among women, emphasising the importance of early detection for improved treatment outcomes and quality of life. Mammography, the primary diagnostic imaging test, poses challenges due to the high variabil
Externí odkaz:
http://arxiv.org/abs/2308.01057
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
Autor:
Wei, Tao, Aviles-Rivero, Angelica I, Wang, Shuo, Huang, Yuan, Gilbert, Fiona J, Schönlieb, Carola-Bibiane, Chen, Chang Wen
The task of classifying mammograms is very challenging because the lesion is usually small in the high resolution image. The current state-of-the-art approaches for medical image classification rely on using the de-facto method for ConvNets - fine-tu
Externí odkaz:
http://arxiv.org/abs/2101.07945
Akademický článek
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Akademický článek
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Autor:
Assi, Hisham, Cao, Rui, Castelino, Madhura, Cox, Ben, Gilbert, Fiona J., Gröhl, Janek, Gurusamy, Kurinchi, Hacker, Lina, Ivory, Aoife M., Joseph, James, Knieling, Ferdinand, Leahy, Martin J., Lilaj, Ledia, Manohar, Srirang, Meglinski, Igor, Moran, Carmel, Murray, Andrea, Oraevsky, Alexander A., Pagel, Mark D., Pramanik, Manojit, Raymond, Jason, Singh, Mithun Kuniyil Ajith, Vogt, William C., Wang, Lihong, Yang, Shufan, Members of IPASC, Bohndiek, Sarah E.
Publikováno v:
In Photoacoustics August 2023 32
With an aging and growing population, the number of women requiring either screening or symptomatic mammograms is increasing. To reduce the number of mammograms that need to be read by a radiologist while keeping the diagnostic accuracy the same or b
Externí odkaz:
http://arxiv.org/abs/1811.02661
Autor:
Lucy Brindle, Anindo Banerjee, Callister, Matthew, Clegg, Andrew, Cook, Andrew, Cozens, Kelly, Crosbie, Philip, Dizdarevic, Sabina, Eaton, Rosemary, Eichhorst, Kathrin, Frew, Anthony, Groves, Ashley, Han, Sai, Jones, Jeremy, Kankam, Osie, Karunasaagarar, Kavitasagary, Kurban, Lutfi, Little, Louisa, Madden, Jackie, McClement, Chris, Miles, Ken, Moate, Patricia, Peebles, Charles, Pike, Lucy, Poon, Fat-Wui, Sinclair, Donald, Shah, Andrew, Vale, Luke, George, Steve, Riley, Richard, Lodge, Andrea, Buscombe, John, Green, Theresa, Stone, Amanda, Navani, Neal, Shortman, Robert, Azzopardi, Gabriella, Doffman, Sarah, Bush, Janice, Lyttle, Jane, Jacob, Kenneth, Horst, Joris van der, Sarvesvaran, Joseph, McLaren, Barbara, Gomersall, Lesley, Sharma, Ravi, Collie, Kathleen, O’Hickey, Steve, Tyler, Jayne, King, Sue, O’Brien, John, Srivastava, Rajiv, Lloyd-Jones, Hugh, Beech, Sandra, Scarsbrook, Andrew, Ashford-Turner, Victoria, Smith, Elaine, Mbale, Susan, Adams, Nick, Pottinger, Gail, Weir-McCall, Jonathan R., Debruyn, Elise, Harris, Scott, Qureshi, Nagmi R., Rintoul, Robert C., Gleeson, Fergus V., Gilbert, Fiona J.
Publikováno v:
In Chest February 2023 163(2):444-454
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations
Autor:
Wei, Tao, Aviles-Rivero, Angelica I., Wang, Shuo, Huang, Yuan, Gilbert, Fiona J., Schönlieb, Carola-Bibiane, Chen, Chang Wen
Publikováno v:
In Medical Image Analysis November 2022 82
Autor:
Kessler, Dimitri A., MacKay, James W., McDonnell, Stephen M., Janiczek, Robert L., Graves, Martin J., Kaggie, Joshua D., Gilbert, Fiona J.
Publikováno v:
In Osteoarthritis Imaging June 2022 2(2)