Melanoma is a silent killer. Yet, if detected early, 99.5% of patients survive. Wait until it spreads, and survival plummets to just 14%.
Skin cancer detection has become one of the clearer success stories for deep learning in medicine, with models trained on large dermoscopy image collections repeatedly matching or approaching dermatologist level accuracy on benchmark datasets. The catch is that the models…
SSD-KD: A Compact Skin Lesion Classifier That Outperforms Its Own Teacher Model Read More »
Skin cancer is one of the most common—and most deadly—forms of cancer worldwide. If detected at an advanced stage, melanoma, the most fatal type, has a 10-year survival rate of less than 39%. But here’s the hopeful news: early detection…
Diffuse gliomas make up roughly 80 percent of malignant brain tumors and a large share of primary brain tumor deaths, and glioblastoma, the most aggressive subtype, still carries a median survival under 15 months after diagnosis despite decades of treatment…
A Diffusion Model That Paints What Your Glioma Will Look Like Next Year Read More »
Skin cancer is common enough that in the United States alone it affects roughly three million people every year, and melanoma, one of its three primary forms alongside basal cell carcinoma and squamous cell carcinoma, is particularly dangerous because it…
How EFAM-Net Reads Skin Lesions With ConvNeXt Attention Blocks Read More »
Medical imaging has always been a cornerstone of diagnostics, treatment planning, and disease monitoring. Among the most critical tasks in this field is 3D medical image segmentation , which enables precise delineation of anatomical structures and pathological regions in volumetric…
Breast cancer statistics have a way of staying grim no matter how many times they get repeated. The World Health Organization logged over two million new cases worldwide in 2020 and close to seven hundred thousand deaths in the same…
How Texture and Shape Features Sharpen Breast Cancer AI Read More »
This article explains a piece of published research. It is not medical advice, diagnosis, or treatment.
Self Paced Multi Scale AI For Diabetic Retinopathy Grading Read More »
Every echocardiogram report that lists an ejection fraction, a chamber volume, or a wall thickness represents a human being drawing a line around a moving, low contrast, occasionally noisy structure on ultrasound. Clinical guidelines from the American Society of Echocardiography…
Self Supervised Learning: How AI Learned to Read Heart Ultrasounds Without Human Labels Read More »
Deep learning segmentation models are, by now, quite good at their job when they have enough data to learn from. The actual constraint most teams run into is upstream of the model entirely, getting enough pixel level annotated examples to…
GenSeg And Training Medical AI With Barely Any Data Read More »