Latest AI and machine learning research in other cancers for healthcare professionals.
Lymph node metastasis in intrahepatic cholangiocarcinoma significantly impacts overall survival, emp...
BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, of...
Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for diagnosis,...
Sleep staging is essential for sleep assessment and plays an important role in disease diagnosis, wh...
By modeling the temporal dependencies of sleep sequence, advanced automatic sleep staging algorithms...
OBJECTIVES: Some sarcomas are highly malignant, associated with high recurrence despite treatment. T...
RATIONALE AND OBJECTIVES: To develop interpretable machine learning models that utilize deep learnin...
To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, w...
BACKGROUND: A growing body of research is using deep learning to explore the relationship between tr...
Gliomas are the most common and malignant form of primary brain tumors. Accurate segmentation and me...
Although recent advancements have shed light on the crucial role of coordinated evolution among cell...
Hepatocellular carcinoma (HCC) is one of the most common malignancies. The currently available clini...
BACKGROUND: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic im...
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that e...
OBJECTIVE: Early and accurate prediction of axillary lymph node metastasis (ALNM) is crucial in dete...
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The ...
Radiopharmaceutical cocktails have been developed over the years to treat cancer. Cocktails of agent...
Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, ...
In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...
INTRODUCTION: Early detection of oral squamous cell carcinoma (OSCC) is critical for improving clini...
OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative...