Zobrazeno 1 - 10
of 698
pro vyhledávání: '"Graham, Simon P"'
Autor:
Liakopoulos, Petros, Massonnet, Julien, Bonjour, Jonatan, Mizrakli, Medya Tekes, Graham, Simon, Cuendet, Michel A., Seipel, Amanda H., Michielin, Olivier, Merkler, Doron, Janowczyk, Andrew
In computational digital pathology, accurate nuclear segmentation of Hematoxylin and Eosin (H&E) stained whole slide images (WSIs) is a critical step for many analyses and tissue characterizations. One popular deep learning-based nuclear segmentation
Externí odkaz:
http://arxiv.org/abs/2405.14028
Autor:
Shephard, Adam J, Jahanifar, Mostafa, Wang, Ruoyu, Dawood, Muhammad, Graham, Simon, Sidlauskas, Kastytis, Khurram, Syed Ali, Rajpoot, Nasir M, Raza, Shan E Ahmed
Tumour-infiltrating lymphocytes (TILs) are considered as a valuable prognostic markers in both triple-negative and human epidermal growth factor receptor 2 (HER2) positive breast cancer. In this study, we introduce an innovative deep learning pipelin
Externí odkaz:
http://arxiv.org/abs/2311.06185
Autor:
Graham, Simon, Vu, Quoc Dang, Jahanifar, Mostafa, Weigert, Martin, Schmidt, Uwe, Zhang, Wenhua, Zhang, Jun, Yang, Sen, Xiang, Jinxi, Wang, Xiyue, Rumberger, Josef Lorenz, Baumann, Elias, Hirsch, Peter, Liu, Lihao, Hong, Chenyang, Aviles-Rivero, Angelica I., Jain, Ayushi, Ahn, Heeyoung, Hong, Yiyu, Azzuni, Hussam, Xu, Min, Yaqub, Mohammad, Blache, Marie-Claire, Piégu, Benoît, Vernay, Bertrand, Scherr, Tim, Böhland, Moritz, Löffler, Katharina, Li, Jiachen, Ying, Weiqin, Wang, Chixin, Kainmueller, Dagmar, Schönlieb, Carola-Bibiane, Liu, Shuolin, Talsania, Dhairya, Meda, Yughender, Mishra, Prakash, Ridzuan, Muhammad, Neumann, Oliver, Schilling, Marcel P., Reischl, Markus, Mikut, Ralf, Huang, Banban, Chien, Hsiang-Chin, Wang, Ching-Ping, Lee, Chia-Yen, Lin, Hong-Kun, Liu, Zaiyi, Pan, Xipeng, Han, Chu, Cheng, Jijun, Dawood, Muhammad, Deshpande, Srijay, Bashir, Raja Muhammad Saad, Shephard, Adam, Costa, Pedro, Nunes, João D., Campilho, Aurélio, Cardoso, Jaime S., S, Hrishikesh P, Puthussery, Densen, G, Devika R, C V, Jiji, Zhang, Ye, Fang, Zijie, Lin, Zhifan, Zhang, Yongbing, Lin, Chunhui, Zhang, Liukun, Mao, Lijian, Wu, Min, Vo, Vi Thi-Tuong, Kim, Soo-Hyung, Lee, Taebum, Kondo, Satoshi, Kasai, Satoshi, Dumbhare, Pranay, Phuse, Vedant, Dubey, Yash, Jamthikar, Ankush, Vuong, Trinh Thi Le, Kwak, Jin Tae, Ziaei, Dorsa, Jung, Hyun, Miao, Tianyi, Snead, David, Raza, Shan E Ahmed, Minhas, Fayyaz, Rajpoot, Nasir M.
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest
Externí odkaz:
http://arxiv.org/abs/2303.06274
Autor:
Kushol, Rafsanjany, Luk, Collin C., Dey, Avyarthana, Benatar, Michael, Briemberg, Hannah, Dionne, Annie, Dupré, Nicolas, Frayne, Richard, Genge, Angela, Gibson, Summer, Graham, Simon J., Korngut, Lawrence, Seres, Peter, Welsh, Robert C., Wilman, Alan, Zinman, Lorne, Kalra, Sanjay, Yang, Yee-Hong
Publikováno v:
Computerized Medical Imaging and Graphics Volume 108, September 2023, 102279
Amyotrophic Lateral Sclerosis (ALS) is a complex neurodegenerative disorder involving motor neuron degeneration. Significant research has begun to establish brain magnetic resonance imaging (MRI) as a potential biomarker to diagnose and monitor the s
Externí odkaz:
http://arxiv.org/abs/2302.10859
Autor:
Jiao, Yiping, van der Laak, Jeroen, Albarqouni, Shadi, Li, Zhang, Tan, Tao, Bhalerao, Abhir, Ma, Jiabo, Sun, Jiamei, Pocock, Johnathan, Pluim, Josien P. W., Koohbanani, Navid Alemi, Bashir, Raja Muhammad Saad, Raza, Shan E Ahmed, Liu, Sibo, Graham, Simon, Wetstein, Suzanne, Khurram, Syed Ali, Watson, Thomas, Rajpoot, Nasir, Veta, Mitko, Ciompi, Francesco
We introduce LYSTO, the Lymphocyte Assessment Hackathon, which was held in conjunction with the MICCAI 2019 Conference in Shenzen (China). The competition required participants to automatically assess the number of lymphocytes, in particular T-cells,
Externí odkaz:
http://arxiv.org/abs/2301.06304
Autor:
Vu, Quoc Dang, Jewsbury, Robert, Graham, Simon, Jahanifar, Mostafa, Raza, Shan E Ahmed, Minhas, Fayyaz, Bhalerao, Abhir, Rajpoot, Nasir
Since the introduction of digital and computational pathology as a field, one of the major problems in the clinical application of algorithms has been the struggle to generalize well to examples outside the distribution of the training data. Existing
Externí odkaz:
http://arxiv.org/abs/2301.03418
Autor:
Jahanifar, Mostafa, Shephard, Adam, Zamanitajeddin, Neda, Graham, Simon, Raza, Shan E Ahmed, Minhas, Fayyaz, Rajpoot, Nasir
Counting of mitotic figures is a fundamental step in grading and prognostication of several cancers. However, manual mitosis counting is tedious and time-consuming. In addition, variation in the appearance of mitotic figures causes a high degree of d
Externí odkaz:
http://arxiv.org/abs/2208.12587
Autor:
Vuong, Trinh Thi Le, Vu, Quoc Dang, Jahanifar, Mostafa, Graham, Simon, Kwak, Jin Tae, Rajpoot, Nasir
The appearance of histopathology images depends on tissue type, staining and digitization procedure. These vary from source to source and are the potential causes for domain-shift problems. Owing to this problem, despite the great success of deep lea
Externí odkaz:
http://arxiv.org/abs/2208.11052
Autor:
Shephard, Adam, Jahanifar, Mostafa, Wang, Ruoyu, Dawood, Muhammad, Graham, Simon, Sidlauskas, Kastytis, Khurram, Syed Ali, Rajpoot, Nasir, Raza, Shan E Ahmed
The quantification of tumor-infiltrating lymphocytes (TILs) has been shown to be an independent predictor for prognosis of breast cancer patients. Typically, pathologists give an estimate of the proportion of the stromal region that contains TILs to
Externí odkaz:
http://arxiv.org/abs/2206.11943
Autor:
Graham, Simon, Vu, Quoc Dang, Jahanifar, Mostafa, Raza, Shan E Ahmed, Minhas, Fayyaz, Snead, David, Rajpoot, Nasir
The recent surge in performance for image analysis of digitised pathology slides can largely be attributed to the advances in deep learning. Deep models can be used to initially localise various structures in the tissue and hence facilitate the extra
Externí odkaz:
http://arxiv.org/abs/2203.00077