Zobrazeno 1 - 10
of 38 269
pro vyhledávání: '"Gleason, P."'
Autor:
Mittmann, Gesa, Laiouar-Pedari, Sara, Mehrtens, Hendrik A., Haggenmüller, Sarah, Bucher, Tabea-Clara, Chanda, Tirtha, Gaisa, Nadine T., Wagner, Mathias, Klamminger, Gilbert Georg, Rau, Tilman T., Neppl, Christina, Compérat, Eva Maria, Gocht, Andreas, Hämmerle, Monika, Rupp, Niels J., Westhoff, Jula, Krücken, Irene, Seidl, Maximillian, Schürch, Christian M., Bauer, Marcus, Solass, Wiebke, Tam, Yu Chun, Weber, Florian, Grobholz, Rainer, Augustyniak, Jaroslaw, Kalinski, Thomas, Hörner, Christian, Mertz, Kirsten D., Döring, Constanze, Erbersdobler, Andreas, Deubler, Gabriele, Bremmer, Felix, Sommer, Ulrich, Brodhun, Michael, Griffin, Jon, Lenon, Maria Sarah L., Trpkov, Kiril, Cheng, Liang, Chen, Fei, Levi, Angelique, Cai, Guoping, Nguyen, Tri Q., Amin, Ali, Cimadamore, Alessia, Shabaik, Ahmed, Manucha, Varsha, Ahmad, Nazeel, Messias, Nidia, Sanguedolce, Francesca, Taheri, Diana, Baraban, Ezra, Jia, Liwei, Shah, Rajal B., Siadat, Farshid, Swarbrick, Nicole, Park, Kyung, Hassan, Oudai, Sakhaie, Siamak, Downes, Michelle R., Miyamoto, Hiroshi, Williamson, Sean R., Holland-Letz, Tim, Schneider, Carolin V., Kather, Jakob Nikolas, Tolkach, Yuri, Brinker, Titus J.
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately predicting Glea
Externí odkaz:
http://arxiv.org/abs/2410.15012
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 11, Pp 13-16 (2024)
Introduction: The Gleason Score (GS) is the most powerful prognostic indicator in prostatic carcinoma. The assignment of the GS is based on the histopathologic patterns of prostatic adenocarcinoma, which are classified according to the Gleason Patter
Externí odkaz:
https://doaj.org/article/bb3f1f1dfa2447c79d4782b1c244eaa9
Autor:
Malekmohammadi, Amin, Badiezadeh, Ali, Mirhassani, Seyed Mostafa, Gifani, Parisa, Vafaeezadeh, Majid
Prostate cancer ranks among the leading health issues impacting men, with the Gleason scoring system serving as the primary method for diagnosis and prognosis. This system relies on expert pathologists to evaluate samples of prostate tissue and assig
Externí odkaz:
http://arxiv.org/abs/2409.17122
In the early nineties, R. M. Aron, B. Cole, T. Gamelin and W.B. Johnson initiated the study of the maximal ideal space (spectrum) of Banach algebras of holomorphic functions defined on the open unit ball of an infinite dimensional complex Banach spac
Externí odkaz:
http://arxiv.org/abs/2409.13889
Autor:
Xu, Yinsong, Wang, Yipei, Shen, Ziyi, Gayo, Iani J. M. B., Thorley, Natasha, Punwani, Shonit, Men, Aidong, Barratt, Dean, Chen, Qingchao, Hu, Yipeng
The Gleason groups serve as the primary histological grading system for prostate cancer, providing crucial insights into the cancer's potential for growth and metastasis. In clinical practice, pathologists determine the Gleason groups based on specim
Externí odkaz:
http://arxiv.org/abs/2407.05796
Autor:
Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen, Sisk, Anthony, Zong, Yang, Flores, Kimberly, Speier, William, Arnold, Corey W.
Prostate cancer (PCa) was the most frequently diagnosed cancer among American men in 2023. The histological grading of biopsies is essential for diagnosis, and various deep learning-based solutions have been developed to assist with this task. Existi
Externí odkaz:
http://arxiv.org/abs/2409.08331
Autor:
Camalet, S.
We propose four axioms for hybrid classical-quantum probability measures that readily generalize the usual ones for classical and quantum probability measures. A generalized Gleason theorem that gives the mathematical form of the corresponding hybrid
Externí odkaz:
http://arxiv.org/abs/2408.10882
Autor:
Bingyu Zhu, Longguo Dai, Huijian Wang, Kun Zhang, Chongjian Zhang, Yang Wang, Feiyu Yin, Ji Li, Enfa Ning, Qilin Wang, Libo Yang, Hong Yang, Ruiqian Li, Jun Li, Chen Hu, Hongyi Wu, Haiyang Jiang, Yu Bai
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This study aims to develop machine learning (ML)-assisted models for analyzing datasets related to Gleason scores in prostate cancer, conducting statistical analyses on the datasets, and identifying meaningful features. We retrospectively co
Externí odkaz:
https://doaj.org/article/f834aacd378242aea95d39f1ae2b4974
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3315-3326 (2024)
Prostate cancer (PCa) is a multifocal disease characterized by genomic and phenotypic heterogeneity within a single gland. In this study, Visium spatial transcriptomics (ST) analysis was applied to PCa tissues with different histological structures t
Externí odkaz:
https://doaj.org/article/4ea9e3bd206d48ba975bf56479f22d0e
Publikováno v:
Majalah Kedokteran Bandung, Vol 56, Iss 3, Pp 209-213 (2024)
In Indonesia, the number of prostate cancer continues to increase and even becomes the most common malignancy in men in 2015. Delayed early detection of prostate cancer is a significant concern. Prostate-specific antigen (PSA) level is found to be el
Externí odkaz:
https://doaj.org/article/313d06a45fb7484f96349278748e43de