Instance segmentation of cells and nuclei from multi-organ cross-protocol microscopic images

Our proposed method for instance segmentation of cells and nuclei provided favorable performance compared to the existing methods in literature, indicating its potential utility as an assistive tool for cell culture experts, facilitating prompt and reliable analysis.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-09-01
DOI
https://doi.org/10.21037/qims-24-801
Citations
4
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
2.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Instance segmentation of cells and nuclei from multi-organ cross-protocol microscopic images

May Phu Paing, Sushish Baral
4 citations
Quantitative Imaging in Medicine and Surgery
Cell Image Analysis Techniques
2.65
article

Instance segmentation of cells and nuclei from multi-organ cross-protocol microscopic images

May Phu Paing, Sushish Baral
article en
4 citations

Abstract

Our proposed method for instance segmentation of cells and nuclei provided favorable performance compared to the existing methods in literature, indicating its potential utility as an assistive tool for cell culture experts, facilitating prompt and reliable analysis.

Quantitative Imaging in Medicine and SurgeryVol. 14(9)
King Mongkut's Institute of Technology Ladkrabang (TH)
King Mongkut's Institute of Technology Ladkrabang
Openalex Percentile: Top 10%
Cell Image Analysis Techniques
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.