Original Research
Accepted on 01 Jul 2025
Risk Assessment of Thyroid Nodules with a Multi-Instance Convolutional Neural Network
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1608963
Type at least 3 characters
2,000 articles
Original Research
Accepted on 01 Jul 2025
Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1591165
Original Research
Accepted on 30 Jun 2025
Differentiation of AFP-negative hepatocellular carcinoma from other intrahepatic malignant lesions by a noninvasive predictive model based on Sonazoid contrast-enhanced ultrasound
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1623670
Original Research
Accepted on 30 Jun 2025
Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1609421
Original Research
Accepted on 30 Jun 2025
SMF-Net: Semantic-Guided Multimodal Fusion Network for Precise Pancreatic Tumor Segmentation in Medical CT Image
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1622426
Original Research
Accepted on 30 Jun 2025
Multi-model Radiomics and Machine Learning for Differentiating Lipid-Poor Adrenal Adenomas from Metastases Using Automatic Segmentation
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1619341
Original Research
Published on 30 Jun 2025
Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1539537
- 434 views
Original Research
Published on 27 Jun 2025
Prostate cancer classification using 3D deep learning and ultrasound video clips: a multicenter study
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1582035
- 477 views
Original Research
Accepted on 26 Jun 2025
Ultrasound-based radiomics combined with B3GALT4 level to predict sentinel lymph node metastasis in primary breast cancer
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1570493
- 122 views
Original Research
Accepted on 25 Jun 2025
Baseline MRI habitat imaging for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1551224
Original Research
Published on 25 Jun 2025
Diagnostic value of CT radiomics and clinical features in differentiating focal organizing pneumonia from peripheral lung cancer
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1620217
- 352 views
Original Research
Accepted on 23 Jun 2025
Evaluation of Quantum Contouring Algorithms for Treatment Planning on MR Abdominal Images
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1553539
- 144 views
Original Research
Accepted on 20 Jun 2025
Percutaneous Trans-Hepatic Recanalization of Occluded Prosthetic Graft after Pancreatoduodenectomy with Venous Reconstruction for Pancreatic Cancer
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1575481
Original Research
Published on 19 Jun 2025
DynTransNet: Dynamic Transformer Network with multi-scale attention for liver cancer segmentation
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1569083
- 342 views
Original Research
Published on 19 Jun 2025
Preliminary investigation on predicting postoperative glioma recurrences based on a multiparametric radiomics model
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1592881
- 271 views
Original Research
Published on 19 Jun 2025
Radiomics models to predict axillary lymph node metastasis in breast cancer and analysis of the biological significance of radiomic features
in Cancer Imaging and Image-directed Interventions
Frontiers in Oncology
doi 10.3389/fonc.2025.1546229
- 352 views