medical imaging

“EfficientNet-B0 outperformed DenseNet121, achieving an accuracy of 84.6%, F1-score of 0.8899, and MCC of 0.6849.”

“These findings strongly support a human-in-the-loop (HITL) workflow in which the on-premise LLM serves as a collaborative tool, not a full replacement.”

“AI misses nearly one-third of breast cancers, study finds”

“A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine's tough problems.”

“The article's context, from ArXiv, suggests it's a research paper.”

“FETAL-GAUGE is a benchmark for assessing vision-language models in Fetal Ultrasound.”

“The research focuses on a 'Tool Bottleneck Framework' for medical image understanding.”

“The article's context highlights the use of AI to address the specifics of multi-label long-tail data within an X-ray analysis context.”

“The research focuses on segmentation of breast ultrasound images using a novel multimodal approach.”

“ASCHOPLEX encounters Dafne: a federated continuous learning project for the generalizability of the Choroid Plexus automatic segmentation”

“The article presents a DeepSeek-powered AI system.”

“The research focuses on the combinatorial explosion problem in deformable medical image registration.”

“InvCoSS utilizes inversion-driven continual self-supervised learning.”

“brat is a method for Brain MRI analysis.”

“The article's focus is on using a two-stream network with global-local feature fusion.”

“SAMM2D is a Scale-Aware Multi-Modal 2D Dual-Encoder.”

“The research focuses on the application of 3D diffusion models for CT reconstruction.”

“The research focuses on temporally consistent monocular depth estimation.”

“MedNeXt-v2 focuses on scaling 3D ConvNets for large-scale supervised representation learning in medical image segmentation.”

“The study uses neural networks to estimate spatially resolved radiation fields.”

“The study focuses on self-supervised learning for improving MRI resolution.”

“The research focuses on a unified FLAIR hyperintensity segmentation model.”

“The research focuses on unsupervised parallel MRI reconstruction.”

“TwinSegNet is a digital twin-enabled federated learning framework for brain tumor analysis.”

“The study focuses on explainability of CNN-based prostate cancer classification.”

“The research focuses on using Physics-Informed Diffusion Models for MRI.”

“The dataset is related to artery-vein segmentation.”

“The article's context indicates the research is published on ArXiv, suggesting a focus on academic exploration.”

“The paper is available on ArXiv.”

“The research focuses on semi-supervised image segmentation for endoscopic video analysis.”