With the significant advancements in artificial intelligence (AI)
techno...
Quantitative organ assessment is an essential step in automated abdomina...
Generative Diffusion Models (GDMs) have emerged as a transformative forc...
Among the research efforts to segment the retinal vasculature from fundu...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide
...
Virtual try-on of eyeglasses involves placing eyeglasses of different sh...
Recent advances in artificial intelligence (AI), coupled with a surge in...
Accuracy validation of cortical thickness measurement is a difficult pro...
Multi-modal image registration spatially aligns two images with differen...
Automated detecting lung infections from computed tomography (CT) data p...
Semantic communication is an important participant in the next generatio...
Emerging with the support of computing and communications technologies,
...
Medical image segmentation under federated learning (FL) is a promising
...
Skin lesion segmentation from dermoscopy images is of great significance...
Context-aware decision support in the operating room can foster surgical...
Automatic delineation of organ-at-risk (OAR) and gross-tumor-volume (GTV...
We propose a novel shape-aware relation network for accurate and real-ti...
Skin lesion segmentation from dermoscopy images is of great importance f...
Performing a real-time and accurate instrument segmentation from videos ...
It is challenging to visually detect heart disease from the
electrocardi...
Neural network has been recognized with its accomplishments on tackling
...
The remarkable success of today's deep neural networks highly depends on...
Intraoperative tracking of laparoscopic instruments is often a prerequis...
In contrast to the classical binary classification paradigm that minimiz...