Self-supervised neuron segmentation with multi-agent reinforcement learning
The performance of existing supervised neuron segmentation methods is highly dependent
on the number of accurate annotations, especially when applied to large scale electron …
on the number of accurate annotations, especially when applied to large scale electron …
Bimcv-r: A landmark dataset for 3d ct text-image retrieval
The burgeoning integration of 3D medical imaging into healthcare has led to a substantial
increase in the workload of medical professionals. To assist clinicians in their diagnostic …
increase in the workload of medical professionals. To assist clinicians in their diagnostic …
Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation
In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance
segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI …
segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI …
Unsupervised Domain Adaptation for EM Image Denoising with Invertible Networks
Electron microscopy (EM) image denoising is critical for visualization and subsequent
analysis. Despite the remarkable achievements of deep learning-based non-blind denoising …
analysis. Despite the remarkable achievements of deep learning-based non-blind denoising …
Joint EM Image Denoising and Segmentation with Instance-Aware Interaction
Z Wang, J Li, Y Chen, J Shou, S Deng… - … Conference on Medical …, 2024 - Springer
In large scale electron microscopy (EM), the demand for rapid imaging often results in
significant amounts of imaging noise, which considerably compromise segmentation …
significant amounts of imaging noise, which considerably compromise segmentation …
Three-Dimensional Convective Cloud Dataset Generation and Deep Learning Based Segmentation
MR Jani - 2024 - search.proquest.com
Convection is one of the primary driver of global atmospheric circulation, influencing cloud
formation, precipitation patterns, and various major weather phenomena. However, the …
formation, precipitation patterns, and various major weather phenomena. However, the …
Two Stage Image Restoration based on Histogram Equalization and Edge Computation for Image
VS Kumar, V Jayalakshmi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Image restoration is the basic technology in image processing to increase the contrast and
brightness of the image. Also, this technique should help to characterize the content of an …
brightness of the image. Also, this technique should help to characterize the content of an …