Earth observation satellites capture an enormous amount of imagery that nobody looks at directly. A satellite photographs the ocean, stores the image, and waits until it passes over a ground station to downlink everything it recorded. Most of what gets…
FixMatch Teaches a Satellite Ready U-Net to Spot Marine Debris With Fewer Labels Read More »
Deep networks are hungry. They get better with more data, and that pattern holds across vision, language, and just about every other domain researchers have thrown at them. The catch is that raw data is cheap while labeled data is…
FixMatch Shows How Little Supervision Semi Supervised Learning Actually Needs Read More »
A radiologist in a busy teaching hospital reads maybe forty brain studies before lunch. Glioma, meningioma, pituitary adenoma, or nothing at all. Most of those calls are easy. A handful are not, and the hard ones tend to be hard…
What 99.62% Accuracy on Brain Tumor MRI Actually Means Read More »
A dermatologist looking at a mole under a dermatoscope is doing something a plain convolutional network struggles with. She is reading fine texture right at the border of the lesion while also holding the whole shape in mind at once,…
EG-VAN Explained, Dual Branch Attention for Skin Cancer Scans Read More »
A dermatologist bends over a dermoscope and studies a brown patch no bigger than a pencil eraser on a patient’s back. Is it an ordinary mole, an early melanoma, or a benign keratosis that only pretends to be dangerous? Human…
Skin Lesion Recognition With Global Local Attention Read More »
Skin cancer is common enough, and dangerous enough when caught late, that the stakes for this kind of research are genuinely high. Melanoma’s ten year survival rate falls below 39 percent when it is detected at an advanced stage, according…
A Top Scoring Skin Cancer AI Missed Most Basal Cell Cases Read More »
Skin cancer screening was one of the first places deep learning actually earned its hype. A 2017 Nature paper by Esteva and colleagues showed a convolutional network matching board certified dermatologists at distinguishing benign moles from malignant ones, and the…
Reversing Adversarial Attacks on Skin Cancer AI With Multiscale Noise Read More »
Lung cancer kills more people worldwide than any other cancer, and the reason is timing more than treatment. A lung nodule found early, while it is still small and localized, is a very different clinical situation from one found after…
Why LungCT-NET Stacks Four Networks Instead of Trusting One Read More »
Convolutional networks are very good at one specific job. They slide a small filter across an image and learn to notice edges, textures, and shapes wherever those patterns show up. That translation invariance is exactly why CNNs have dominated medical…
How Brain GCN Net Combines CNN and GNN for MRI Tumor Classification Read More »
A model trained to segment the prostate in MRI scans from one institution routinely fails when presented with scans from another hospital that uses a different scanner, a different field strength, or a different slice thickness. This is not a…