ORIGINAL RESEARCH
Published on 03 Dec 2025
Differential diagnosis of pneumoconiosis mass shadows and peripheral lung cancer using CT radiomics and the AdaBoost machine learning model
doi 10.3389/fmed.2025.1675840
- 185 views
- Frontiers in Medicine
- Nuclear Medicine
- Research Topics
- Methods and Strategies for Integrating Medical Images Acquired from Distinct Modalities
Methods and Strategies for Integrating Medical Images Acquired from Distinct Modalities
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Articles
ORIGINAL RESEARCH
Published on 11 Nov 2025
High-fidelity medical image generation: controllable synthesis of high-resolution medical images via hierarchical fusion in vector-quantized generative networks
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- 1,602 views
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HHBSNet: a global channel–spatial attention and multi‐scale dilated convolution network for automatic melasma segmentation
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ORIGINAL RESEARCH
Published on 03 Sep 2025
A clinical study incorporating multimodal 18F-FDG PET/CT metabolic parameters, genetic markers, and clinical characteristics for the evaluation and prediction of treatment efficacy and prognosis in Langerhans cell histiocytosis
doi 10.3389/fmed.2025.1619967
- 1,251 views
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Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics
doi 10.3389/fmed.2025.1608652
- 1,667 views
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Published on 22 Jul 2025
Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis
doi 10.3389/fmed.2025.1599739
- 2,003 views
- 1 citation
REVIEW
Published on 16 Jul 2025
A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis
doi 10.3389/fmed.2025.1551894
- 4,053 views
- 1 citation
ORIGINAL RESEARCH
Published on 28 Apr 2025
Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning
doi 10.3389/fmed.2025.1530361
- 1,269 views
ORIGINAL RESEARCH
Published on 13 Feb 2025
Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a cardiac magnetic resonance feature-tracking study
doi 10.3389/fmed.2025.1525334
- 1,086 views
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