Tag: medical image analysis

Researchers in Trieste embedded anatomical rules as logical constraints in a transformer segmentation model, boosting accuracy and morphological coherence in ...

Researchers have unveiled an unsupervised deep learning framework that clusters retinal fundus images by disease using only image-level labels, achieving ...

Researchers in Qatar have built a two-stage AI pipeline that predicts clinical keywords from chest X-rays and then generates full ...

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 ...