Zobrazeno 1 - 10
of 658
pro vyhledávání: '"A. Haider, Masoom"'
Autor:
Mourato, Felipe A., Schmitt, Luiza G., Mariussi, Miriana, Torri, Giovanni, Altmayer, Stephan, Giganti, Francesco, Abreu-Gomez, Jorge, Perlis, Nathan, Berlin, Alejandro, Ghai, Sangeet, Haider, Masoom A., Dias, Adriano B.
Publikováno v:
In European Urology Oncology December 2024 7(6):1246-1254
Autor:
Englman, Cameron, Maffei, Davide, Allen, Clare, Kirkham, Alex, Albertsen, Peter, Kasivisvanathan, Veeru, Baroni, Ronaldo Hueb, Briganti, Alberto, De Visschere, Pieter, Dickinson, Louise, Gómez Rivas, Juan, Haider, Masoom A., Kesch, Claudia, Loeb, Stacy, Macura, Katarzyna J., Margolis, Daniel, Mitra, Anita M., Padhani, Anwar R., Panebianco, Valeria, Pinto, Peter A., Ploussard, Guillaume, Puech, Philippe, Purysko, Andrei S., Radtke, Jan Philipp, Rannikko, Antti, Rastinehad, Art, Renard-Penna, Raphaele, Sanguedolce, Francesco, Schimmöller, Lars, Schoots, Ivo G., Shariat, Shahrokh F., Schieda, Nicola, Tempany, Clare M., Turkbey, Baris, Valerio, Massimo, Villers, Arnauld, Walz, Jochen, Barrett, Tristan, Giganti, Francesco, Moore, Caroline M.
Publikováno v:
In European Urology September 2024 86(3):240-255
Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is excellent if detected at an early stage, making early screening crucial fo
Externí odkaz:
http://arxiv.org/abs/2108.04427
Autor:
Klotz, Laurence, Chin, Joseph, Black, Peter C., Finelli, Antonio, Anidjar, Maurice, Machado, Ashley, Levental, Mark, Ghai, Sangeet, Chang, Silvia D., Patel, Chirag, Kassam, Zahra, Loblaw, Andrew, Kebabdjian, Marlene, Pond, Greg, Haider, Masoom A.
Publikováno v:
In European Urology Oncology June 2024 7(3):456-461
Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for reporting performance of binary classifiers. In this paper, first we present a comprehensive review o
Externí odkaz:
http://arxiv.org/abs/2006.04836
Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the true distribution. While different augmentation strategies and their co
Externí odkaz:
http://arxiv.org/abs/2006.01693
Publikováno v:
In Radiologic Clinics of North America January 2024 62(1):37-51
Convolutional Neural Networks (CNNs) have been used for automated detection of prostate cancer where Area Under Receiver Operating Characteristic (ROC) curve (AUC) is usually used as the performance metric. Given that AUC is not differentiable, commo
Externí odkaz:
http://arxiv.org/abs/1911.01477
Autor:
Motamed, Saman, Gujrathi, Isha, Deniffel, Dominik, Oentoro, Anton, Haider, Masoom A., Khalvati, Farzad
The segmentation of prostate whole gland and transition zone in Diffusion Weighted MRI (DWI) are the first step in designing computer-aided detection algorithms for prostate cancer. However, variations in MRI acquisition parameters and scanner manufa
Externí odkaz:
http://arxiv.org/abs/1909.09541
Autor:
Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., Khalvati, Farzad
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigate the relationship between tumors imaging features and clinical outcom
Externí odkaz:
http://arxiv.org/abs/1907.04822