Abstract: Remote sensing scene classification is a vital task in remote sensing image analysis with significant application potential. In recent years, convolutional neural network (CNN)-based methods ...
Abstract: Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not easy to ...
Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
MRI brain tumor classifier with logistic baseline and a CNN. Trained on 2,870 images with preprocessing, evaluation, ROC, and confusion matrix. CNN ~86% accuracy overall. Pituitary tumors: precision 0 ...
Abstract: Kidney cancer is a commonly diagnosed cancer disease in recent years, and Renal Cell Carcinoma (RCC) is the most common kidney cancer responsible for 80% to 85% of all renal tumors. The ...
A critical mount that kept the left engine attached to the UPS flight that crashed in Louisville earlier this month failed only moments after the doomed flight broke ground, according to a new report ...
A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...
Abstract: Breast cancer is the most frequent type of cancer largely experienced by women currently, although it could happen to men also. It appears when abnormal breast tissue cells grow rapidly and ...
Images of Donald Trump appearing to close his eyes at an Oval Office announcement this week rocketed around social media this weekend, with the president’s opponents seizing on the footage to raise ...
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