Zobrazeno 1 - 10
of 18 645
pro vyhledávání: '"Multi-task"'
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:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Background Drug combination treatments have proven to be a realistic technique for treating challenging diseases such as cancer by enhancing efficacy and mitigating side effects. To achieve the therapeutic goals of these combinations, it is
Externí odkaz:
https://doaj.org/article/41dfd813f2c840e29c76ef42d4ebb4cf
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract This paper addresses the challenge of online blind speaker separation in a multi-microphone setting. The linearly constrained minimum variance (LCMV) beamformer is selected as the backbone of the separation algorithm due to its distortionles
Externí odkaz:
https://doaj.org/article/28ecf5174c4446aeba3e9f34d74bd140
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract This paper proposes a novel multi-view ensemble predictor model that is designed to address the challenge of determining synergistic drug combinations by predicting both the synergy score value values and synergy class label of drug combinat
Externí odkaz:
https://doaj.org/article/1bbcf832d20c496faaf15d83eaed21ac
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:
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