Tag: medical image analysis

A systematic review of 16 studies finds quantum machine learning promising for medical image analysis but concludes the current evidence ...

A Chinese research team reports a new asymmetric U-Net with hybrid attention and residual dilated convolution that achieved Dice scores ...

A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...

A new teacher-student framework aggregates knowledge from multiple medical imaging datasets and consistently improves segmentation, classification, and detection performance across ...

A new framework uses ant colony optimization to configure a modified DeepLabV3+ network with a residual feature fusion module, reporting ...

An opinion article argues that medical AI should strengthen, rather than displace, bedside observation, clinical reasoning and the physician-patient relationship.

YOLOv11 performed best in a single-center comparison using augmented clinical photographs to detect and grade nipple injuries, but the study ...

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 ...