A Proof-of-Concept Study for Precise Mapping of Pigmented Basal Cell Carcinoma in Asian Skin Using Multispectral Optoacoustic Tomography Imaging with Level Set Segmentation

A Proof-of-Concept Study for Precise Mapping of Pigmented Basal Cell Carcinoma in Asian Skin Using Multispectral Optoacoustic Tomography Imaging with Level Set Segmentation

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...

Generative AI for Bone Scintigraphy Image Synthesis and Enhanced Deep Learning Model Generalization in Data-Constrained Settings

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, ...

PSMA PET/CT-based Multimodal Deep Learning Model for Accurate Prediction of Pelvic Lymph-Node Metastases in Prostate Cancer

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...

An Explainable Transformer Model Integrating PET and Tabular Data for Histologic Grading and Prognosis of Follicular Lymphoma: A Multi-Institutional Digital Biopsy Study

A Transformer Model Integrating PET Imaging and Clinical Data: A Multicenter Digital Biopsy Study for Predicting Pathological Grading and Prognosis of Follicular Lymphoma Academic Background Follicular Lymphoma (FL) is the most common indolent Non-Hodgkin Lymphoma in Western countries, accounting for approximately 30% of newly diagnosed cases. Acco...

Clinical impact of an explainable radiomics model with amino acid PET imaging: application to the diagnosis of aggressive gliomas

Application of Explainable Machine Learning in Amino Acid PET Imaging for Glioma Diagnosis Academic Background Gliomas are among the most common malignant tumors of the central nervous system, with their diagnosis and treatment strategies typically relying on histopathological analysis. However, histopathology has limitations such as being highly i...

Ultra-Fast PSMA-PET Staging in Prostate Cancer Enhanced by Artificial Intelligence

Application of AI-Enhanced Ultra-Fast PSMA-PET in Prostate Cancer Staging Academic Background Prostate cancer is one of the most common cancers among men globally, and accurate diagnosis and staging are crucial for treatment decision-making. Prostate-specific membrane antigen (PSMA) positron emission tomography (PET) has become a standard examinati...