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Decision-making in clinical diagnostic for brain tumor detection based on advanced machine learning algorithm
Published 2025-01-01Subjects: “…brain tumor classification…”
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A Lightweight Convolutional Neural Network for Classification of Brain Tumors Using Magnetic Resonance Imaging
Published 2024-12-01Subjects: Get full text
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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks
Published 2025-01-01Subjects: “…brain tumor segmentation…”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
Published 2024-12-01Subjects: Get full text
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Registration between Pathological Image and MR Image for Comparing Different Modality Images of Brain Tumor
Published 2014-01-01Get full text
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Enhancing Brain Tumor Detection: A Comparative Study of CNN Architectures Using MRI Data
Published 2025-01-01“…Deep learning models have become essential for automated medical image analysis in brain tumor detection. Existing Convolutional Neural Network (CNN) models like Visual Geometry Group 19 (VGG19), Residual Network 18 (ResNet18), and Residual Network 34 (ResNet34), despite their success in image classification and recognition, face challenges such as unclear boundary detection, limited generalization, and lower computational efficiency in detecting brain tumors. …”
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Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation
Published 2024-12-01Subjects: “…brain tumor segmentation…”
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Targeted Transition Readiness Workshops for Pediatric Brain Tumor Survivors: Feasibility, Acceptability, and Preliminary Effects
Published 2025-01-01Subjects: Get full text
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification
Published 2025-01-01Subjects: “…Brain tumors…”
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Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure
Published 2025-02-01Subjects: Get full text
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Comparison of Amino Acid Positron Emission Tomographic Radiotracers for Molecular Imaging of Primary and Metastatic Brain Tumors
Published 2014-08-01“…PET plays a significant role in the diagnosis, prognostication, and treatment of various cancers, including brain tumors. In this article, we compare uptake mechanisms and the clinical performance of the amino acid PET radiotracers (L-[methyl- 11 C]methionine [MET], 18 F-fluoroethyl-tyrosine [FET], 18 F-fluoro-L- dihydroxy-phenylalanine [FDOPA], and 11 C-alpha-methyl-L-tryptophan [AMT]) most commonly used for brain tumor imaging. …”
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Clinical confocal laser endomicroscopy for imaging of autofluorescence signals of human brain tumors and non-tumor brain
Published 2024-12-01Subjects: Get full text
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Botulinum Therapy for Pain Caused by Spasticity in Advanced Stages of Brain Tumor in Adolescents: A Case Report
Published 2025-01-01“…Conclusion: Thus, botulinum therapy can potentially alleviate spasticity-associated pain in advanced stages of brain tumors in adolescents.…”
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GBM-Reservoir: Brain tumor (Glioblastoma Multiforme) MRI dataset collection with ground truth segmentation masksfigshare
Published 2025-02-01Subjects: “…Brain tumor segmentation…”
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Micro-MRI at 11.7 T of a Murine Brain Tumor Model Using Delayed Contrast Enhancement
Published 2003-07-01“…In orthotopically transplanted murine models of brain tumors, cross-section micro-MRI allows for visualization and measurement of the physically inaccessible tumors. …”
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Transferrin receptor-1 and ferritin heavy and light chains in astrocytic brain tumors: Expression and prognostic value.
Published 2017-01-01“…Astrocytic brain tumors are the most frequent primary brain tumors. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images
Published 2022-01-01“…Brain tumor segmentation is an important content in medical image processing, and it is also a very common research in medicine. …”
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Design and Implementation of Brain Tumor Segmentation and Detection Using a Novel Woelfel Filter and Morphological Segmentation
Published 2022-01-01“…A new method for detecting brain tumors using MRI images is presented in this research. …”
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