Search Results for author:
Found 9 papers, 5 papers with code
CAS-GAN for Contrast-free Angiography Synthesis
Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients.
SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation
Automatic vessel segmentation is paramount for developing next-generation interventional navigation systems.
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation
2. 5D-based segmentation models bridge computational efficiency of 2D-based models and spatial perception capabilities of 3D-based models.
CROP: Conservative Reward for Model-based Offline Policy Optimization
Offline reinforcement learning (RL) aims to optimize policy using collected data without online interactions.
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning
The conservatism of current algorithms mostly relies on model uncertainty estimation.
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
For the scale variation, our adaptive receptive field module aggregates multi-scale features and automatically fuses them with different weights.
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments
LWANet adopts encoder-decoder architecture, where the encoder is the lightweight network MobileNetV2, and the decoder consists of depthwise separable convolution, attention fusion block, and transposed convolution.
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments
To the best of our knowledge, this is the first cataract surgical instrument dataset for semantic segmentation.
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network
The dataset from the MICCAI EndoVis Challenge 2017 is used to evaluate our network.
