GitHub

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Visual example of our conformal margin: we build a morphological margin (via dilation) that covers all missed pixels (false negatives). Dataset: WBC In the following image, we have a ground truth mask ...
GitHub

Slim UNETR: An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

🎉 This work is published in IEEE Transactions on Medical Imaging The sub-regions considered for evaluation in BraTS 21 challenge are the "enhancing tumor" (ET), the "tumor core" (TC), and the "whole ...
Frontiers

Paddy pest image segmentation based on multiscale attention fusion VM-UNet

1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...
IEEE

Merging Context Clustering With Visual State Space Models for Medical Image Segmentation

Abstract: Medical image segmentation demands the aggregation of global and local feature representations, posing a challenge for current methodologies in handling both long-range and short-range ...
IEEE

Region Uncertainty Estimation for Medical Image Segmentation With Noisy Labels

Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.