Abstract: Semi-supervised learning (SSL) has achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
Abstract: The scarcity of labeled samples results in the challenge of small-sample-size in hyperspectral image (HSI) classification. Transfer learning offers hope for solving this problem. In ...
Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
(CNN) — Video and images showing an armed, masked individual outside the Tucson, Arizona, home of Nancy Guthrie have given new life to the search for the 84-year-old – and may offer investigators ...
Abstract: At present, mitosis detection in breast histopathology images is a critical issue for breast cancer grading. Due to the breast tissue having a complex structure, and mitosis and non-mitosis ...
Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
Medical image classification is a critical task where precision is paramount. A false negative can delay life-saving treatment, while a false positive can lead to unnecessary stress and procedures.
The Trump administration has not shied away from sharing AI-generated imagery online, embracing cartoonlike visuals and memes and promoting them on official White House channels. But an edited — and ...
President Donald Trump seemed to rule out using force to take Greenland in his speech at Davos. Meanwhile, Trump is set to meet with Ukraine’s President Volodymyr Zelensky at the summit. The legal ...
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