Progress of fluorescence imaging in lymph node dissection surgery for prostate and bladder cancer

in Cancer Imaging and Image-directed Interventions

• Mingquan Xu
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Assessment of synthetic MRI to distinguish Warthin’s tumor from pleomorphic adenoma in the parotid gland: comparison of two methods of positioning the region of interest for synthetic relaxometry measurement

in Cancer Imaging and Image-directed Interventions

• Jiabin Sun
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Case report: Imaging of adrenal adenomatoid tumors: reports of two cases and review of literature

in Cancer Imaging and Image-directed Interventions

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The ins and outs of errors in oncology imaging: the DAC framework for radiologists

in Cancer Imaging and Image-directed Interventions

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Primary hepatoid adenocarcinoma of the lung with extremely elevated serum AFP: a case report and literature review

in Cancer Imaging and Image-directed Interventions

• Chengsen Cai
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Retraction: Berberine suppresses stemness and tumorigenicity of colorectal cancer stem-like cells by inhibiting m6A methylation

in Cancer Imaging and Image-directed Interventions

Corrigendum: Case report: Possible role of low-dose PEM for avoiding unneeded procedures associated with false-positive or equivocal breast MRI results

in Cancer Imaging and Image-directed Interventions

• Madeline Rapley
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Radiomics in distinguishing between lung adenocarcinoma and lung squamous cell carcinoma: a systematic review and meta-analysis

in Cancer Imaging and Image-directed Interventions

• Lili Shi
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A complete benchmark for polyp detection, segmentation and classification in colonoscopy images

in Cancer Imaging and Image-directed Interventions

• Yael Tudela
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• Neil de la Fuente
• Adrian Galdran
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Enhancing brain tumor detection: a novel CNN approach with advanced activation functions for accurate medical imaging analysis

in Cancer Imaging and Image-directed Interventions

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Ultrasound-based radiomics nomogram for predicting HER2-low expression breast cancer

in Cancer Imaging and Image-directed Interventions

• Xueling Zhang
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Radiomics-based machine learning models for differentiating pathological subtypes in cervical cancer: a multicenter study

in Cancer Imaging and Image-directed Interventions

• Huiling Liu
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Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neural networks

in Cancer Imaging and Image-directed Interventions

• Yun Zhong
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Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning

in Cancer Imaging and Image-directed Interventions

• Priya Bhardwaj
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Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identification of lymph node metastasis in pancreatic ductal adenocarcinoma

in Cancer Imaging and Image-directed Interventions

• Yue Huang
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Role of CT imaging in addressing resectability issues in differentiated thyroid cancer: imaging-based Mahajan grading system for TI and ETE

in Cancer Imaging and Image-directed Interventions

• Abhishek Mahajan
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Differentiation of pheochromocytoma and adrenal lipoid adenoma by radiomics: are enhanced CT scanning images necessary?

in Cancer Imaging and Image-directed Interventions

• Shi he Liu
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In vivo characterization of brain tumor biomechanics: magnetic resonance elastography in intracranial B16 melanoma and GL261 glioma mouse models

in Cancer Imaging and Image-directed Interventions

• Anastasia Janas
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Comparative assessment of the diagnostic efficacy of [18F]AlF-NOTA-FAPI-04 and [18F]FDG PET/CT imaging for detecting postoperative recurrence in gastric cancer patients: a pilot study

in Cancer Imaging and Image-directed Interventions

• Jian Yang
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Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4

in Cancer Imaging and Image-directed Interventions

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Significance of maximum intensity projection technique of multimodal ultrasound imaging in differentiating follicular thyroid carcinoma from benign lesions

in Cancer Imaging and Image-directed Interventions

• Wei Gao
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Prediction of lymphovascular invasion of gastric cancer based on contrast-enhanced computed tomography radiomics

in Cancer Imaging and Image-directed Interventions

• Si-Yu Zhen
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Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade

in Cancer Imaging and Image-directed Interventions

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Artificial intelligence techniques in liver cancer

in Cancer Imaging and Image-directed Interventions

• Lulu Wang
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