IEEE

Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation

Abstract: In domain continual medical image segmentation, distillation-based methods mitigate catastrophic forgetting by continuously reviewing old knowledge. However, these approaches often exhibit ...
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

Medical Image Segmentation Pipeline

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
IEEE

Semi-Supervised Medical Hyperspectral Image Segmentation Using Adversarial Consistency Constraint Learning and Cross Indication Network

Abstract: Hyperspectral imaging technology is considered a new paradigm for high-precision pathological image segmentation due to its ability to obtain spatial and spectral information of the detected ...
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 ...