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Dynamic proportional loss of functional connectivity revealed change of left superior frontal gyrus in subjective cognitive decline: an explanatory study based on Chinese and Western cohorts.
Geroscience
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Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
Brain network dynamics have been extensively explored in patients with subjective cognitive decline (SCD). However, these studies are susceptible to individual differences, scanning parameters, and other confounding factors. Therefore, how to reveal subtle SCD-related subtle changes remains unclear.
View Article and Find Full Text PDFIndividual management and prognostic assessment for long-term outcomes using a novel classification system of craniopharyngiomas: a retrospective study of single institution.
J Cancer Res Clin Oncol
January 2025
Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Purpose: This study aims to propose a classification system to more accurately understand the features and nature of different CPs, to investigate the correlation between different topographies of CPs and their surgical outcomes.
Methods: A retrospective analysis was conducted on 91 surgically resected CPs. They were categorized into six types based on their location and origin.
Optimizing Skin Cancer Diagnosis: A Modified Ensemble Convolutional Neural Network for Classification.
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January 2025
Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, India.
Skin cancer is recognized as one of the most harmful cancers worldwide. Early detection of this cancer is an effective measure for treating the disease efficiently. Traditional skin cancer detection methods face scalability challenges and overfitting issues.
View Article and Find Full Text PDFT2-low severe asthma clinical spectrum and impact: The Greek PHOLLOW cross-sectional study.
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1st University Department of Respiratory Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Background: Data on type 2 (T2)-low severe asthma (SA) frequency is scarce, resulting in an undefined unmet therapeutic need in this patient population. Our objective was to assess the frequency and characterize the profile and burden of T2-low SA in Greece.
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Hybrid transformer-based model for mammogram classification by integrating prior and current images.
Med Phys
January 2025
School of Computing, University of Connecticut, Storrs, Connecticut, USA.
Background: Breast cancer screening via mammography plays a crucial role in early detection, significantly impacting women's health outcomes worldwide. However, the manual analysis of mammographic images is time-consuming and requires specialized expertise, presenting substantial challenges in medical practice.
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