Search Results for author:
Found 11 papers, 4 papers with code
Optimizing Retinal Prosthetic Stimuli with Conditional Invertible Neural Networks
However, the information transmission between the camera and retinal cells is often limited by the low resolution of the electrode array and the lack of specificity for different ganglion cell types, resulting in suboptimal stimulations.
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook
Semantic image segmentation, the process of classifying each pixel in an image into a particular class, plays an important role in many visual understanding systems.
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
Modern biomedical image analysis using deep learning often encounters the challenge of limited annotated data.
Semi-supervised Instance Segmentation with a Learned Shape Prior
To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth.
SortedAP: Rethinking evaluation metrics for instance segmentation
Designing metrics for evaluating instance segmentation revolves around comprehensively considering object detection and segmentation accuracy.
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
The pre-trained retinal implant model is also a U-Net, which is trained to mimic the biomimetic perceptual model implemented in pulse2percept.
Instance Segmentation of Dense and Overlapping Objects via Layering
Instance segmentation aims to delineate each individual object of interest in an image.
Contextual Attention Network: Transformer Meets U-Net
Then, they emphasize the informative regions while taking into account the long-range contextual dependency derived by the Transformer module.
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
Fovea localization is one of the most popular tasks in ophthalmic medical image analysis, where the coordinates of the center point of the macula lutea, i. e. fovea centralis, should be calculated based on color fundus images.
Object Detection Based Handwriting Localization
We present an object detection based approach to localize handwritten regions from documents, which initially aims to enhance the anonymization during the data transmission.
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
A distance regression module is incorporated into our architecture to generate seeds for fast clustering.
