相关数据集
Results of AI segmentations and cell files research Part.2
These figures are the graphical results of my Master 2 internship on automatic segmentation using SAM2(Segment Anything Model 2) an artificial intelligence. The red line represents the best cell line
DataCite Commons2025-06-01 更新130
CIL:28758
One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subs
NIAID Data Ecosystem90
Data_Sheet_1_Automated Object Detection in Experimental Data Using Combination of Unsupervised and Supervised Methods.PDF
Deep neural networks (DNN) have shown their success through computer vision tasks such as object detection, classification, and segmentation of image data including clinical and biological data. Howev
NIAID Data Ecosystem50
Manual organelle segmentations (crop342) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of mouse liver acinus (jrc_mus-liver-zon-2)
This acquisition is part of the CellMap 2024 Segmentation ChallengeChallenge DOI: https://doi.org/10.25378/janelia.c.7456966Challenge Website: https://cellmapchallenge.janelia.org/Annotation descripti
Figshare2024-12-13 更新60
