Zobrazeno 1 - 10
of 14 453
pro vyhledávání: '"multi task learning"'
Autor:
Chongshuang Yang, Zhuoyi Tan, YiJie Wang, Ran Bi, Tianliang Shi, Jing Yang, Chao Huang, Peng Jiang, Xiangyang Fu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Cervical cancer is the fourth most common malignant tumor among women globally, posing a significant threat to women’s health. In 2022, approximately 600,000 new cases were reported, and 340,000 deaths occurred due to cervical cancer. Magn
Externí odkaz:
https://doaj.org/article/c10df9e1d3b140e6b8f28f376b61e5a6
Autor:
Bernhard Föllmer, Sotirios Tsogias, Federico Biavati, Kenrick Schulze, Maria Bosserdt, Lars Gerrit Hövermann, Sebastian Stober, Wojciech Samek, Klaus F. Kofoed, Pál Maurovich-Horvat, Patrick Donnelly, Theodora Benedek, Michelle C. Williams, Marc Dewey
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives To develop and evaluate a multi-task deep-learning (DL) model for automated segment-level coronary artery calcium (CAC) scoring on non-contrast computed tomography (CT) for precise localization and quantification of calcifications
Externí odkaz:
https://doaj.org/article/3439ea4a93bf4726a7f48233ecca1ace
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The identification and classification of various phenotypic features of Auricularia cornea fruit bodies are crucial for quality grading and breeding efforts. The phenotypic features of Auricularia cornea fruit bodies encompass size, number,
Externí odkaz:
https://doaj.org/article/dd9410bd2c18473ab9d2762b59ee2062
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 828-842 (2024)
Accurately diagnosing Alzheimer’s disease is essential for improving elderly health. Meanwhile, accurate prediction of the mini-mental state examination score also can measure cognition impairment and track the progression of Alzheimer’s disease.
Externí odkaz:
https://doaj.org/article/2ffa80bb3a8243c49ce8ea7b9e67c65d
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 136-147 (2025)
Real-time lower limb movement resistance monitoring is critical for various applications in clinical and sports settings, such as rehabilitation and athletic training. Current methods often face limitations in accuracy, computational efficiency, and
Externí odkaz:
https://doaj.org/article/e6b3ec6bcd3045ac9772691da430534d
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 3288-3299 (2024)
Brain imaging genetics is an evolving neuroscience topic aiming to identify genetic variations related to neuroimaging measurements of interest. Traditional linear regression methods have shown success, but their reliance on individual-level imaging
Externí odkaz:
https://doaj.org/article/0db239b4c63543e38f3d5adcb06919ab
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 388-401 (2024)
The human face hides many secrets and is one of the most expressive human features. Human faces even contain hidden information about a person's personality. Considering the fundamental role of the human face, it is necessary to prepare appropriate d
Externí odkaz:
https://doaj.org/article/ef5248f05a77422986d68be28f0fcc25
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5057-5079 (2024)
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception and classification to assist in breast cancer diagnosis and personalized treatment. A typical paradigm of MTL is the shared-backbone network architectur
Externí odkaz:
https://doaj.org/article/71f8ec0f0e754779b6ce92ae59f216dc
Autor:
Philipp Moser, Gernot Reishofer, Robert Prückl, Stefan Schaffelhofer, Sascha Freigang, Stefan Thumfart, Kariem Mahdy Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Transcranial magnetic stimulation (TMS) has emerged as a promising neuromodulation technique with both therapeutic and diagnostic applications. As accurate coil placement is known to be essential for focal stimulation, computational models h
Externí odkaz:
https://doaj.org/article/f4db632568b84ee6becd63c830b33291
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Metabolic syndrome (MetS) is a complex disorder characterized by a cluster of metabolic abnormalities, including abdominal obesity, hypertension, elevated triglycerides, reduced high-density lipoprotein cholesterol, and impaired glucose tole
Externí odkaz:
https://doaj.org/article/ed3243b257a845b3a6a18194ddd6662a