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Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks.
Sci Rep
January 2025
Department of Computer Engineering, Inha University, Incheon, Republic of Korea.
The most prevalent form of malignant tumors that originate in the brain are known as gliomas. In order to diagnose, treat, and identify risk factors, it is crucial to have precise and resilient segmentation of the tumors, along with an estimation of the patients' overall survival rate. Therefore, we have introduced a deep learning approach that employs a combination of MRI scans to accurately segment brain tumors and predict survival in patients with gliomas.
View Article and Find Full Text PDFBalancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways.
Hum Brain Mapp
January 2025
Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
Analysis of resting state fMRI (rs-fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree of motion, relates to a broad set of participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance data quality concerns against the possibility of biasing results by eliminating data.
View Article and Find Full Text PDFOptimization and characterization of physicochemical, morphological, structural, thermal, and rheological properties of microwave-assisted extracted pectin from Dillenia indica fruit.
Int J Biol Macromol
January 2025
Department of Food Engineering and Technology, Tezpur University, Napaam, Sonitpur, Tezpur, Assam, India. Electronic address:
Microwave-assisted extraction of pectin from Dillenia indica (DI) fruit was optimized using Box-Behnken design to maximize yield and quality. Parameters such as solid:solvent (1:10-1:30), microwave power (200-600 W), and extraction time (4-10 min) were varied to determine the optimal conditions. Through experimentation, the optimized extraction parameters were identified as 1:23.
View Article and Find Full Text PDFPhysical modification of cassava starch by alternating magnetic field treatment: Effects on fine structure, retrogradation and in vitro digestibility.
Food Chem
December 2024
School of Pharmacy, Hainan Medical University, Haikou 571199, China. Electronic address:
With the growing attention on green starch modification technologies, this study investigates the regulatory effects of alternating magnetic field treatment on the fine structure and functional properties of pregelatinized cassava starch at different treatment times (10 min, 30 min, 50 min).The results demonstrate that magnetic field treatment not only increased starch cracks and compactness but also promoted molecular chain breakage and reorganization, hydrogen bond formation, and starch recrystallization, thereby enhancing molecular order. Moreover, the treated starch exhibited improved solubility and swelling power, alongside a positive impact on the content of slowly digestible starch.
View Article and Find Full Text PDFCortical encoding of spatial structure and semantic content in 3D natural scenes.
J Neurosci
January 2025
Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo FI-00076, Finland.
Our visual system enables us to effortlessly navigate and recognize real-world visual environments. Functional magnetic resonance imaging (fMRI) studies suggest a network of scene-responsive cortical visual areas, but much less is known about the temporal order in which different scene properties are analysed by the human visual system. In this study, we selected a set of 36 full-colour natural scenes that varied in spatial structure and semantic content that our male and female human participants viewed both in 2D and 3D while we recorded magnetoencephalography (MEG) data.
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