首页/数据集/Instance Segmentation of Dislocations in TEM Images

Instance Segmentation of Dislocations in TEM Images

NIAID Data Ecosystem2026-05-02 收录

位错实例分割

TEM图像分析

数据链接：

https://zenodo.org/record/7965050 数据链接链接失效反馈

官方服务：

资源简介：

This is the dataset and software for the IEEE publication Instance Segmentation of Dislocations in TEM Images to be published in 2023.

应用场景：

创建时间：

2024-07-12

烟尘颗粒识别

TEM图像分析

An ONNX file - associated with Sipkens et al. (https://doi.org/10.1016/j.powtec.2021.04.026) - containing a trained convolution neural network to separate soot aggregates from the background in TEM im

NIAID Data Ecosystem60

Data used to train the final random forest model.

材料缺陷分析

TEM图像分析

Quantifying prediction uncertainty when applying object detection models to new, unlabeled datasets is critical in applied machine learning. This study introduces an approach to estimate the performan

Figshare2024-10-27 更新20

TEM Nanoparticle Measurement - ImageJ Macro

纳米颗粒尺寸测量

TEM图像分析

This macro will automatically measure the size distribution of nanoparticles from TEM images using a custom trained Cellpose 2.0 model. Additional macro information is commented within the ImageJ Macr

Monash University Figshare2026-02-11 更新00

Transmission electron microscope images dataset for AutoDetect-mNP (triangular prisms)

纳米颗粒表征

TEM图像分析

AutoDetect-mNP is an unsupervised algorithm capable of detecting and segmenting particles from bright-field TEM images and classifying the particles based on their shapes, requiring minimum human inte

NIAID Data Ecosystem20

HDL sizing with TEM Raw Data

TEM图像分析

阿尔茨海默病生物标志物

Raw data for "Analysis of TEM micrographs with deep learning model (YOLO) reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer’s dementia"

Mendeley Data10

Instance Segmentation of Dislocations in TEM Images

资源简介：

相关数据集