Zobrazeno 1 - 10
of 945
pro vyhledávání: '"DI Ieva A"'
Autor:
Farahani, Somayeh, Hejazi, Marjaneh, Tabassum, Mehnaz, Di Ieva, Antonio, Mahdavifar, Neda, Liu, Sidong
Gliomas, the most common primary brain tumors, show high heterogeneity in histological and molecular characteristics. Accurate molecular profiling, like isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion, is critical for diagnosis, treatme
Externí odkaz:
http://arxiv.org/abs/2411.02426
Autor:
Moradizeyveh, Sahar, Tabassum, Mehnaz, Liu, Sidong, Newport, Robert Ahadizad, Beheshti, Amin, Di Ieva, Antonio
Eye-gaze tracking research offers significant promise in enhancing various healthcare-related tasks, above all in medical image analysis and interpretation. Eye tracking, a technology that monitors and records the movement of the eyes, provides valua
Externí odkaz:
http://arxiv.org/abs/2403.07834
Autor:
Yang, Litao, Mehta, Deval, Liu, Sidong, Mahapatra, Dwarikanath, Di Ieva, Antonio, Ge, Zongyuan
Digital pathology based on whole slide images (WSIs) plays a key role in cancer diagnosis and clinical practice. Due to the high resolution of the WSI and the unavailability of patch-level annotations, WSI classification is usually formulated as a we
Externí odkaz:
http://arxiv.org/abs/2305.00696
Autor:
David Black, Declan Byrne, Anna Walke, Sidong Liu, Antonio Di Ieva, Sadahiro Kaneko, Walter Stummer, Tim Salcudean, Eric Suero Molina
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-11 (2024)
Abstract Background Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching this goal. Using hyperspectral imaging, previous wo
Externí odkaz:
https://doaj.org/article/d3aa70d59c9a419795d5b6bf5a8cad5a
Autor:
Chitnis, Soham Rohit, Liu, Sidong, Dash, Tirtharaj, Verlekar, Tanmay Tulsidas, Di Ieva, Antonio, Berkovsky, Shlomo, Vig, Lovekesh, Srinivasan, Ashwin
Publikováno v:
Annu Int Conf IEEE Eng Med Biol Soc (EMBC 2023)
Whole Slide Images (WSIs) or histopathology images are used in digital pathology. WSIs pose great challenges to deep learning models for clinical diagnosis, owing to their size and lack of pixel-level annotations. With the recent advancements in comp
Externí odkaz:
http://arxiv.org/abs/2302.09833
Autor:
Cong, Cong, Liu, Sidong, Rana, Priyanka, Pagnucco, Maurice, Di Ieva, Antonio, Berkovsky, Shlomo, Song, Yang
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
Autor:
Wesselink, E.O., Elliott, J.M., Pool-Goudzwaard, A., Coppieters, M.W., Pevenage, P.P., Di Ieva, A., Weber II, K.A.
Publikováno v:
In North American Spine Society Journal (NASSJ) March 2024 17
Autor:
E.O. Wesselink, MSc, J.M. Elliott, PhD, A. Pool-Goudzwaard, PhD, M.W. Coppieters, PhD, P.P. Pevenage, A. Di Ieva, PhD, K.A. Weber II, PhD
Publikováno v:
North American Spine Society Journal, Vol 17, Iss , Pp 100313- (2024)
Background: The reported level of lumbar paraspinal intramuscular fat (IMF) in people with low back pain (LBP) varies considerably across studies using conventional T1- and T2-weighted magnetic resonance imaging (MRI) sequences. This may be due to th
Externí odkaz:
https://doaj.org/article/e9752a1d7ccd4f338744d9cfeec4b0a8
Pre-processing and Data Augmentation play an important role in Deep Convolutional Neural Networks (DCNN). Whereby several methods aim for standardization and augmentation of the dataset, we here propose a novel method aimed to feed DCNN with spherica
Externí odkaz:
http://arxiv.org/abs/2010.13967
Magnetic Resonance Imaging (MRI) is used in everyday clinical practice to assess brain tumors. Several automatic or semi-automatic segmentation algorithms have been introduced to segment brain tumors and achieve an expert-like accuracy. Deep Convolut
Externí odkaz:
http://arxiv.org/abs/2008.07090