Back

Organ Finder a new AI-based organ segmentation tool for CT

2022-11-18 radiology and imaging Title + abstract only
View on medRxiv
Show abstract

BackgroundAutomated organ segmentation in computed tomography (CT) is a vital component in many artificial intelligence-based tools in medical imaging. This study presents a new organ segmentation tool called Organ Finder 2.0. In contrast to most existing methods, Organ Finder was trained and evaluated on a rich multi-origin dataset with both contrast and non-contrast studies from different vendors and patient populations. ApproachA total of 1,171 CT studies from seven different publicly availa...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 34% 19.9%
2
Scientific Reports
701 training papers
Top 3% 19.9%
3
Computers in Biology and Medicine
39 training papers
Top 0.2% 7.2%
4
PLOS Digital Health
88 training papers
Top 6% 4.7%
5
Nature Communications
483 training papers
Top 34% 2.4%
6
Heliyon
57 training papers
Top 0.5% 2.4%
7
Diagnostics
36 training papers
Top 0.7% 2.4%
8
Human Brain Mapping
53 training papers
Top 3% 2.2%
9
Scientific Data
30 training papers
Top 0.4% 2.2%
10
npj Digital Medicine
85 training papers
Top 9% 2.2%
11
NeuroImage
36 training papers
Top 2% 2.2%
12
Archives of Clinical and Biomedical Research
18 training papers
#1 1.7%
13
Frontiers in Medicine
99 training papers
Top 10% 1.7%
14
eBioMedicine
82 training papers
Top 3% 1.7%
15
Journal of Clinical Medicine
77 training papers
Top 12% 1.5%
16
BMJ Open
553 training papers
Top 55% 1.5%
17
NeuroImage: Clinical
77 training papers
Top 8% 1.5%
18
Imaging Neuroscience
18 training papers
Top 2% 1.3%
19
Frontiers in Oncology
34 training papers
Top 5% 1.3%
20
Cureus
64 training papers
Top 15% 1.1%
21
eLife
262 training papers
Top 42% 1.1%
22
Cancers
57 training papers
Top 7% 1.1%
23
BMC Cancer
21 training papers
Top 7% 0.5%
24
Alzheimer's Research & Therapy
31 training papers
Top 7% 0.5%
25
Frontiers in Neurology
74 training papers
Top 16% 0.5%
26
Brain and Behavior
19 training papers
Top 4% 0.5%
27
Medicine
29 training papers
Top 8% 0.5%
28
Frontiers in Neuroscience
29 training papers
Top 8% 0.5%
29
Sensors
18 training papers
Top 3% 0.5%