ORIGINAL RESEARCH
Published on 25 Jun 2025
Diagnostic value of CT radiomics and clinical features in differentiating focal organizing pneumonia from peripheral lung cancer
doi 10.3389/fonc.2025.1620217
- 350 views
- Frontiers in Immunology
- Cancer Immunity and Immunotherapy
- Research Topics
- Recent Trends and Advancements in Multispectral and Hyperspectral Imaging for Cancer Detection
Recent Trends and Advancements in Multispectral and Hyperspectral Imaging for Cancer Detection
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Articles
CORRECTION
Published on 11 Jun 2025
Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures
doi 10.3389/fonc.2025.1632503
- 331 views
ORIGINAL RESEARCH
Published on 09 Jun 2025
The application of multimodal ultrasound examination in the differential diagnosis of benign and malignant breast lesions of BI-RADS category 4
doi 10.3389/fmed.2025.1596100
- 757 views
ORIGINAL RESEARCH
Accepted on 27 May 2025
Deep Learning-Based Time Series Prediction in Multispectral and Hyperspectral Imaging for Cancer Detection
doi 10.3389/fmed.2025.1605865
- 336 views
ORIGINAL RESEARCH
Published on 14 May 2025
MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures
doi 10.3389/fonc.2025.1603672
- 784 views
ORIGINAL RESEARCH
Published on 02 May 2025
Significance of multi-task deep learning neural networks for diagnosing clinically significant prostate cancer in plain abdominal CT
doi 10.3389/fonc.2025.1543230
- 956 views
ORIGINAL RESEARCH
Published on 02 Dec 2024
Computer-aided endoscopic diagnostic system modified with hyperspectral imaging for the classification of esophageal neoplasms
doi 10.3389/fonc.2024.1423405
- 1,057 views
- 2 citations
Published in
Frontiers in Immunology
Cancer Immunity and Immunotherapy
Participating Journals
Frontiers in Digital Health
- 3.8 impact factor
- 6.3 citescore
Frontiers in Medicine
- 3.0 impact factor
- 6.0 citescore
Frontiers in Oncology
- 3.3 impact factor
- 6.9 citescore
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