Research on an Asymmetric Dual-Task Co-Training Model for Improving Partial Label Learning in Deep Learning Research Background In the field of deep learning, supervised learning has become the core method for many artificial intelligence tasks. However, training deep neural networks often requires a massive amount of accurately labeled data, which...
A Novel GLUT1-Targeted Fluorescence Imaging Tracer: Advances in Intraoperative Breast Cancer Detection Background and Problem Statement Breast cancer is one of the most common malignancies among women worldwide, with an estimated 2.3 million new cases and approximately 666,000 deaths globally in 2022. Surgical treatment for breast cancer typically ...
A Novel Near-Infrared Fluorescence Imaging Study Targeting Hepatocellular Carcinoma (HCC) Hepatocellular carcinoma (HCC) ranks as the sixth most common malignancy and the third leading cause of cancer-related mortality worldwide. Statistics indicate that the postoperative recurrence rate of HCC reaches as high as 80%, with liver fibrosis or cirrhos...
Research Progress on Early Alzheimer’s Stages: Focusing on Differences Between Objective Subtle Cognitive Difficulties and Subjective Cognitive Decline Alzheimer’s disease (AD) is a critical topic in modern neuroscience and geriatric medicine research. Its pathological process begins years before the onset of clinical symptoms. Increasing evidence ...
The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...
A New Approach to Skin Cancer Diagnosis: Research on Photoacoustic Imaging with Level Set Segmentation Algorithm In recent years, with global population aging and environmental changes, the incidence rate of skin cancer has been climbing annually. As a significant public health issue, skin cancer primarily manifests in non-melanoma types like squam...
Protein-Functionalized and Intrinsically Radiolabeled [188Re]ReOx Nanoparticles: Breakthrough Application in Multimodal Synergistic Cancer Therapy Cancer remains one of the leading causes of death globally, despite significant progress in medical science over the past few decades. However, early detection and treatment methods still face significan...
Breakthrough Applications of Generative Artificial Intelligence in Nuclear Medicine: Exploring the Potential of Synthetic Bone Scintigraphy Images and Their Application in Deep Learning Background and Research Questions In recent years, the rapid development of Artificial Intelligence (AI) has revolutionized medical imaging analysis. For instance, ...
Development of a Molecular Probe for Tumor-Associated Protein Mesothelin Based on PET Imaging Technology Research Background In recent years, mesothelin (MSLN) has become a key focus in cancer research and diagnostics. Mesothelin is a membrane-bound glycoprotein highly expressed on the surface of various malignancies, including ovarian, pancreatic,...
In-depth Analysis of PSMA PET/CT-based Multimodal Deep Learning Model for Predicting Lymph Node Metastases in Prostate Cancer Patients Background Prostate cancer (PCA) is one of the most common malignant tumors in men and a leading cause of cancer-related deaths. In clinically localized prostate cancer patients, extended pelvic lymph node dissectio...