Breast cancer remains the most diagnosed cancer among women worldwide, with approximately 3 million new cases detected in 2024 alone. While early-stage breast cancer boasts a nearly 100% five-year survival rate, this figure plummets to just 23% once metastasis occurs.…
The early detection and accurate grading of cancer remains one of modern medicine’s most pressing challenges. For pathologists worldwide, the assessment of gland morphology in histopathological images serves as the gold standard for cancer diagnosis—particularly in colorectal and prostate cancers.…
DPFR: A Breakthrough in AI-Powered Gland Segmentation for Cancer Diagnosis Read More »
Skin cancer represents one of the most pervasive and rapidly growing cancer types globally, with incidence rates continuing to climb across all demographics. The primary culprits—DNA damage from ultraviolet (UV) radiation, excessive tanning bed use, and uncontrolled cellular growth—have created…
Primary liver cancer stands as the third leading cause of cancer-related deaths worldwide, claiming hundreds of thousands of lives annually. Despite advances in medical imaging, diagnosing the three distinct subtypes—hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and the rare combined hepatocellular-cholangiocarcinoma…
M2CR: Revolutionizing Primary Liver Cancer Diagnosis with AI-Powered Multimodal Analysis Read More »
Skin cancer remains one of the most prevalent and rapidly increasing forms of cancer worldwide, affecting millions of people annually and placing enormous pressure on healthcare systems. The statistics are sobering: patients diagnosed with melanoma at an early stage enjoy…
Medical imaging stands at the threshold of a transformative era where artificial intelligence doesn’t merely assist radiologists—it fundamentally reimagines what’s possible in diagnostic speed and precision. Cardiac magnetic resonance imaging (CMR), long considered the gold standard for evaluating heart function,…
A surgeon is halfway through an operation on a patient with a solid tumor. A frozen section goes to the pathologist, who reads it within minutes and tells the team whether the margin is clear. The slide that usually drives…
M3Surv Cancer Survival Prediction With Missing Data Read More »
Give a neurologist a brain scan from today and ask what it will look like in five years, and you are asking for something the field has wanted for a long time. Not a population average, not a risk score,…
latent diffusion model: Predicting Alzheimer’s Brain MRI Change With BrLP Read More »
Medical image segmentation stands as one of the most critical yet challenging tasks in modern diagnostic imaging. Whether identifying tumors in breast ultrasounds, delineating pathologies in brain MRIs, or precisely outlining lung regions in CT scans, the ability to automatically…
The traditional workflow in medical imaging has remained largely unchanged for decades. Radiologists manually examine thousands of scans, carefully delineating regions of interest slice by slice—a process that is both time-consuming and prone to human error. But what if an…