Search Results for author:
Found 8 papers, 2 papers with code
ProMISe: Promptable Medical Image Segmentation using SAM
Our experiments demonstrate that such adaptive prompts significantly improve SAM's non-fine-tuned performance in MIS.
Ranked #1 on
Medical Image Segmentation
on ISIC 2018
Distortion-Disentangled Contrastive Learning
The POCL method typically uses a single loss function to extract the distortion invariant representation (DIR) which describes the proximity of positive-pair representations affected by different distortions.
DualStreamFoveaNet: A Dual Stream Fusion Architecture with Anatomical Awareness for Robust Fovea Localization
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss.
Stepwise Feature Fusion: Local Guides Global
However, due to the structure of polyps image and the varying shapes of polyps, it easy for existing deep learning models to overfitting the current dataset.
Ranked #2 on
Medical Image Segmentation
on 2018 Data Science Bowl
A Robust Framework of Chromosome Straightening with ViT-Patch GAN
The generator learns the motion representation of chromosomes for straightening.
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
However, although numerous algorithms are proposed based on fundus images or OCT volumes in computer-aided diagnosis, there are still few methods leveraging both of the modalities for the glaucoma assessment.
Bilateral-ViT for Robust Fovea Localization
The fovea is an important anatomical landmark of the retina.
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image
To address the flaws in the geometric algorithms, we propose a novel framework based on image-to-image translation to learn a pertinent mapping dependence for synthesizing straightened chromosomes with uninterrupted banding patterns and preserved details.
