Back to search

Article

SegJointGene: joint cell segmentation and spatial gene prioritization by information entropy guided convolutional neural networks

2026-01-09

Abstract excerpt

<h4>Motivation</h4> Spatial sequencing technologies enable the single-cell-level study of molecular organization in tissues. Revealing such spatial patterns relies on accurate cell segmentation. In complex tissues with dense cell packing, segmentation based solely on nuclear staining is insufficient for accurate cell boundary detection. This limitation arises because accurate segmentation necessitates the delinea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0670c546-0224-5cf4-95e0-3a4b06460736
DOI
10.64898/2026.01.08.698474
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
SegJointGene: joint cell segmentation and spatial gene prioritization by information entropy guided convolutional neural networksDOI 10.64898/2026.01.08.698474
Select a neighboring publication to make it the new centre.