Search Results for author:
Found 7 papers, 2 papers with code
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
The proposed method can generate high-quality images with more realistic vascular structures and can create a diverse range of images based on the strengths of the diffusion model.
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization
We present a method to extract coronary vessels from fluoroscopic x-ray sequences.
Generative Residual Attention Network for Disease Detection
Accurate identification and localization of abnormalities from radiology images serve as a critical role in computer-aided diagnosis (CAD) systems.
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
Retinal images have the highest resolution and clarity among medical images.
Deep Vessel Segmentation By Learning Graphical Connectivity
We propose a novel deep-learning-based system for vessel segmentation.
Ranked #1 on
Retinal Vessel Segmentation
on HRF
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images
The results trained with only 10 strongly annotated images along with weakly annotated images were comparable to results trained from 800 strongly annotated images, with the 95% confidence interval of difference -3. 00%--5. 00%, in terms of the correct localization (CorLoc) measure, which is the ratio of images with intersection over union with ground truth higher than 0. 5.
Random Tree Walk Toward Instantaneous 3D Human Pose Estimation
Instead of training trees for pixel-wise classification, a regression tree is trained to estimate the probability distribution to the direction toward the particular joint, relative to the current position.
