Tag: medical image analysis

Researchers have adapted a quantum mechanics-based clustering algorithm to segment brain tumors on MRI without needing to predefine the number ...

A multimodal deep learning model that combines panoramic dental X-rays with structured patient metadata significantly outperforms image-only or metadata-only approaches ...

Researchers in the Czech Republic have built a generative adversarial network that creates synthetic breast ultrasound images to train a ...

Researchers in Würzburg developed CAFEx, a weakly supervised AI pipeline that uses an anatomical bottleneck to estimate cardiac ejection fraction ...

A new multi-stream deep learning framework called MS-AtroNet combines convolutional, state-space, wavelet, and evidential components to classify Alzheimer's MRI slices ...

Researchers have developed LMANet, a lightweight multiscale attention network that achieves high-accuracy skin-lesion segmentation with only 5.6 million parameters by ...

Researchers at Sichuan University have developed a clinically driven framework that aligns orthodontic X-rays with facial photographs using weighted keypoint ...

A new lightweight AI framework called RAML embeds tumor subregion identity and geometric descriptors directly into its architecture, trading a ...

Medical imaging has become one of the most promising arenas for artificial intelligence, but the technology has long been held ...

Researchers have developed a deep learning framework that generates clinically faithful diagnostic reports from low-resolution SPECT bone scans by combining ...