专题：Radiomics and Machine Learning in Medical Imaging

This cluster of papers focuses on the application of radiomics, a quantitative analysis of medical images, particularly in the context of cancer imaging and precision medicine. It explores the extraction of advanced features from medical images, the use of machine learning for predictive modeling, and the assessment of tumor heterogeneity through texture analysis.
最新文献
AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions

article Full Text OpenAlex

Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Classification

article Full Text OpenAlex

ESMO basic requirements for AI-based biomarkers in oncology (EBAI)

article Full Text OpenAlex

ChatGPT-5 vs oral medicine experts for rank-based differential diagnosis of oral lesions: a prospective, biopsy-validated comparison

article Full Text OpenAlex

Application of artificial intelligence and digital tools in cancer pathology

article Full Text OpenAlex

Prompt-dependent performance of multimodal AI model in oral diagnosis: a comprehensive analysis of accuracy, narrative quality, calibration, and latency versus human experts

article Full Text OpenAlex

Artificial intelligence in cancer: applications, challenges, and future perspectives

review Full Text OpenAlex

A comparative analysis of U-Net-based architectures for robust segmentation of bladder cancer lesions in magnetic resonance imaging

article Full Text OpenAlex

BCLC strategy for prognosis prediction and treatment recommendations: The 2026 update

review Full Text OpenAlex

Impact of magnification on deep learning approaches through comprehensive comparative study of histopathological breast cancer classification

article Full Text OpenAlex

近5年高被引文献
Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation

book-chapter Full Text OpenAlex 3260 FWCI1299.9952

UNETR: Transformers for 3D Medical Image Segmentation

article Full Text OpenAlex 2620 FWCI543.4583

Neoadjuvant Nivolumab plus Chemotherapy in Resectable Lung Cancer

article Full Text OpenAlex 2360 FWCI233.412

Foundation models for generalist medical artificial intelligence

review Full Text OpenAlex 1392 FWCI243.3697

The Medical Segmentation Decathlon

article Full Text OpenAlex 1116 FWCI148.3932

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images

article Full Text OpenAlex 1112 FWCI122.9953

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

review Full Text OpenAlex 1083 FWCI140.3415

The Liver Tumor Segmentation Benchmark (LiTS)

article Full Text OpenAlex 1071 FWCI82.6

ChatGPT and Other Large Language Models Are Double-edged Swords

letter Full Text OpenAlex 966 FWCI37.1218

Recent advances and clinical applications of deep learning in medical image analysis

review Full Text OpenAlex 938 FWCI120.3527