Back

UCSF RMaC: University of California San Francisco 3D Multi-Phase Renal Mass CT Dataset with Tumor Segmentations

2026-02-12 radiology and imaging Title + abstract only
View on medRxiv
Show abstract

Current standard of care imaging practices cannot reliably differentiate among certain renal tumors such as benign oncocytoma and clear cell renal cell carcinoma (RCC), and between low and high grade RCCs. Previous work has explored using deep learning, radiomics, and texture analysis to predict renal tumor subtypes and differentiate between low and high grade RCCs with mixed success. To further this work, large diverse datasets are needed to improve model performance and provide strong evaluati...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 20% 25.3%
2
Scientific Reports
701 training papers
Top 0.6% 25.3%
3
Scientific Data
30 training papers
Top 0.4% 2.2%
4
Nature Communications
483 training papers
Top 34% 2.2%
5
Diagnostics
36 training papers
Top 0.8% 2.2%
6
PLOS Digital Health
88 training papers
Top 8% 2.2%
7
Computers in Biology and Medicine
39 training papers
Top 3% 2.2%
8
Cancers
57 training papers
Top 6% 1.8%
9
eBioMedicine
82 training papers
Top 3% 1.8%
10
Journal of the American Medical Informatics Association
53 training papers
Top 5% 1.7%
11
npj Digital Medicine
85 training papers
Top 11% 1.7%
12
Frontiers in Oncology
34 training papers
Top 5% 1.5%
13
NeuroImage
36 training papers
Top 3% 1.5%
14
JAMA Network Open
125 training papers
Top 14% 1.5%
15
International Journal of Medical Informatics
25 training papers
Top 4% 1.5%
16
eLife
262 training papers
Top 29% 1.5%
17
Human Brain Mapping
53 training papers
Top 6% 1.3%
18
Journal of Clinical Medicine
77 training papers
Top 17% 1.1%
19
Imaging Neuroscience
18 training papers
Top 2% 1.1%
20
Cureus
64 training papers
Top 15% 1.1%
21
NeuroImage: Clinical
77 training papers
Top 12% 0.8%
22
BMC Cancer
21 training papers
Top 5% 0.8%
23
BMJ Open
553 training papers
Top 65% 0.8%
24
Heliyon
57 training papers
Top 11% 0.8%
25
Clinical Cancer Research
22 training papers
Top 4% 0.5%