Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review

IEEE Transactions on Emerging Topics in Computational Intelligence, Journal Year: 2024, Volume and Issue: 8(3), P. 2126 - 2149

Published: April 2, 2024

Ultrasound (US) is generally preferred because it of low-cost, safe, and non-invasive. US image segmentation crucial in analysis. Recently, deep learning-based methods are increasingly being used to segment images. This survey systematically summarizes highlights aspects the learning techniques developed last five years for various body regions. We investigate analyze most popular loss functions metrics training evaluating neural network segmentation. Furthermore, we study patterns architectures proposed regions interest. present modules priors that address anatomical challenges associated with different organs have found variants U-Net dedicated overcome low-contrast blurry nature images suitable Finally, also discuss advantages context

Language: Английский

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An overview of methods and techniques in multimodal data fusion with application to healthcare

International Journal of Data Science and Analytics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Language: Английский

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The Implications of Long-Term Local Climate Change for the Energy Performance of an nZEB Residential Building in Volos, Greece

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1032 - 1032

Published: Feb. 20, 2025

The construction of nearly zero-emission buildings in Europe and internationally has become mandatory by legislation. In parallel with these developments, the non-reversible increase ambient temperatures stresses buildings’ energy systems during summer months extreme temperatures, their severity varying according to local microclimate. These phenomena result an cooling loads. Thus, HVAC system’s performance needs more careful study, especially for residential sector wherever night effect is no longer capable releasing stress. present work, impact climate change on a building’s studied through simulations. future increases intensity duration heat waves assessed exploiting long-term forecasting capabilities transformer neural network model, trained existing meteorological data period 2007–2023. Based forecasted climatic conditions 2030 2040 produced this way, projected effects are assessed. forecast was aided 43 years temperature Europe, available ERA5 Copernicus program datasets. respective predictions electricity consumption wave episodes long durations point necessity special measures keep internal grid’s autonomy reduce unwanted interactions external grid. Moreover, further improvements nZEB building design improved would be critical success policy next two decades.

Language: Английский

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Recent advancements and applications of deep learning in heart failure: Α systematic review

Computers in Biology and Medicine, Journal Year: 2024, Volume and Issue: 176, P. 108557 - 108557

Published: May 7, 2024

Language: Английский

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Modified U-Net with attention gate for enhanced automated brain tumor segmentation

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

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Knowledge-aware recommendation based on hypergraph representation learning and transformer model optimization

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(5)

Published: Jan. 16, 2025

Language: Английский

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Trends, Challenges, and Applications of Large Language Models in Healthcare: A Bibliometric and Scoping Review

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 76 - 76

Published: Feb. 8, 2025

The application of Large Language Models (LLMs) in medicine represents an area growing interest scientific research. This study presents a quantitative review the literature aiming at analyzing emerging trends use LLMs medical field. Through systematic analysis works extracted from Scopus, examines temporal evolution, geographical distribution, and collaborations between research institutions nations. Furthermore, main topics addressed most cited papers are identified, recent relevant reviews explored depth. approach enables mapping development research, highlighting both opportunities open challenges. comprehensive articles review-type across several years, focusing on temporal, geographical, thematic trends. reveals significant shifts activity, including periods increased or decreased publication output emergence new areas interest. Geographically, results identify regions countries with higher concentrations publications, as well experiencing stagnant international collaboration. highlights key reviewed papers, tracking evolving changes focus over time. Additionally, collaborative sheds light networks collaboration, revealing distribution affiliations subperiods types. Finally, investigation that have had greatest impact community, identifying enduring themes methodologies continue to shape field study. provide clear overview current future perspectives for medicine, offering valuable reference researchers professionals

Language: Английский

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A multi-factor clustering integration paradigm for wind speed point-interval prediction based on feature selection and optimized inverted transformer

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135210 - 135210

Published: Feb. 1, 2025

Language: Английский

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Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 110002 - 110002

Published: March 16, 2025

Language: Английский

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Dual-aspect attention spatial-spectral transformer and hyperspectral imaging: A novel approach to detecting Aspergillus flavus contamination in peanut kernels

Postharvest Biology and Technology, Journal Year: 2024, Volume and Issue: 213, P. 112960 - 112960

Published: April 12, 2024

Language: Английский

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