In tests on standard image classification datasets (CIFAR-100, TinyImageNet), Lp-Convolution significantly improved accuracy on both classic models like AlexNet and modern architectures like RepLKNet.

DeNeRD, the brain-processing technique devised by Iqbal and his colleagues, is a state-of-the-art solution that can be applied to a variety of real-world imaging tasks, including object ...

For unknown reasons, the human brain distinctly separates the handling of images of living things from images of non-living things, processing each image type in a different area of the brain. For ...

A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study.

A new technology that uses clinical MRI machines to image metabolic activity in the brain could give researchers and ...

Automatic Classification of Tumor Response From Radiology Reports With Rule-Based Natural Language Processing Integrated Into the Clinical Oncology ... 13% had head and neck cancer, 11% had lung ...

Below is an image showing this brain activity when processing different linguistic rules (Credit for image and caption: Max Planck Institute for Human Cognitive and Neurosciences). Here is a link ...