Topic
Convolutional networks research, explained
5 open-access convolutional networks studies, each with a flashcard deck and a quiz.
- Can a neural network recognise which heart-ultrasound view it's seeing?
A convolutional neural network named 15 standard echocardiogram views more accurately than board-certified experts, using tiny low-resolution images.
- Can ImageNet-trained networks read cancer tissue slides?
Features borrowed from a network trained on everyday photos, applied to small patches of huge tissue slides, classified and outlined cancer far better than hand-designed image features.
- Can a 3D image network predict how mutations change protein stability?
Training a 3D convolutional network on both each mutation and its reverse removed the usual bias toward predicting destabilisation, and removing related proteins from training showed earlier methods' scores were likely inflated.
- Can a CNN predict how cancer cells respond to drugs?
A two-branch convolutional network predicted drug response well for drugs it had seen before, but almost failed on entirely new drugs.
- Can a text-style CNN read chemical formulas to predict toxicity?
Treating a molecule's SMILES text string like a one-dimensional image let a CNN beat standard fingerprint methods on toxicity prediction and point to the substructures it relied on.