Back

Tissue Region Segmentation In H&E-Stained Andihc-Stained Pathology Slides Of Specimens Fromdifferent Origins

2025-01-17 pathology Title + abstract only
View on medRxiv
Show abstract

AO_SCPLOWBSTRACTC_SCPLOWWith the rise of digital pathology, integrating digital slides with deep learning-based decision support systems is becoming increasingly common in clinical practice. Tissue region segmentation which is distinguishing tissue from background/artefacts, is an important pre-requisite in many digital pathology pipelines both for the laboratories as their first step in digitalizing the glass slides of tissue samples and turning them to whole slide images (WSIs) using scanners,...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 48% 14.2%
2
Scientific Reports
701 training papers
Top 22% 8.8%
3
npj Digital Medicine
85 training papers
Top 2% 7.6%
4
Computers in Biology and Medicine
39 training papers
Top 0.4% 6.2%
5
The Lancet Digital Health
25 training papers
#1 5.8%
6
Nature Communications
483 training papers
Top 22% 5.4%
7
Cureus
64 training papers
Top 1% 4.9%
8
PLOS Digital Health
88 training papers
Top 7% 3.0%
9
Cancers
57 training papers
Top 6% 1.9%
10
Journal of Clinical Microbiology
77 training papers
Top 3% 1.9%
11
Biology Methods and Protocols
19 training papers
Top 0.2% 1.5%
12
Nature Medicine
88 training papers
Top 5% 1.5%
13
iScience
74 training papers
Top 5% 1.5%
14
eLife
262 training papers
Top 35% 1.3%
15
The Journal of Molecular Diagnostics
24 training papers
Top 1% 1.3%
16
BMC Cancer
21 training papers
Top 4% 1.3%
17
Human Brain Mapping
53 training papers
Top 9% 0.9%
18
BMJ Open
553 training papers
Top 63% 0.9%
19
Frontiers in Medicine
99 training papers
Top 19% 0.9%
20
Scientific Data
30 training papers
Top 5% 0.7%
21
PLOS Computational Biology
141 training papers
Top 15% 0.7%
22
Frontiers in Oncology
34 training papers
Top 6% 0.7%
23
International Journal of Medical Informatics
25 training papers
Top 6% 0.7%
24
JAMA Network Open
125 training papers
Top 32% 0.7%
25
Brain
69 training papers
Top 11% 0.7%
26
International Journal of Molecular Sciences
39 training papers
Top 7% 0.7%