Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

Abstract: Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric ...

Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...

생쥐의 몸짓을 단어처럼 읽고 행동의 의미를 해석하는 인공지능(AI)이 개발됐다. 동물의 움직임을 단순히 분류하는 데서 나아가 자폐 모델 생쥐의 행동 특징까지 사전 지식 없이 찾아내는 데 성공했다. KAIST는 김대수 ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...