Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
The segmentation of coal maceral groups can be described as a semantic segmentation process of coa...
The Reference Remote Sensing Image Segmentation (RRSIS) task generates segmentation masks for spec...
Recent advances in large language models (LLMs) and vision-language models (VLMs) have enabled pow...
For the immanent challenge of insufficiently annotated samples in the medical field, semi-supervis...
Computational inverse problems for biomedical simulators suffer from limited data and relatively h...
The heart, responsible for circulating blood throughout our body, contains four chambers. Existing a...
The integration of artificial intelligence in nursing practice presents significant ethical challeng...
Polyps, like a silent time bomb in the gut, are always lurking and can explode into deadly colorecta...
Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. Ho...
Accurately modeling time-continuous stochastic processes from irregular observations remains a sig...
Few-Shot Medical Image Segmentation (FSMIS) has been widely used to train a model that can perform...
The automated generation of radiology reports from chest X-ray images holds significant promise in...
Occlusion Boundary Estimation (OBE) identifies boundaries arising from both inter-object occlusion...
RGB-D scene parsing methods effectively capture both semantic and geometric features of the enviro...
Vision-Language Models (VLMs) exhibit impressive performance, yet the integration of powerful visi...
Medical image segmentation, particularly in multi-domain scenarios, requires precise preservation ...
Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of task...
To address the challenge of complex pathological feature extraction in automated cardiac MRI segme...
Perturbation with diverse unlabeled data has proven beneficial for semi-supervised medical image s...
Large language models (LLMs) hold significant potential for mental health support, capable of gene...
Semantic segmentation stands as a pivotal research focus in computer vision. In the context of ind...