Back
Top 2%
22.3%
Top 5%
14.6%
Top 66%
7.8%
Top 0.6%
6.0%
Top 5%
5.0%
Top 10%
4.2%
Top 1%
3.9%
Top 7%
3.2%
Top 3%
3.1%
Top 1%
1.6%
Top 1%
1.6%
Top 9%
1.3%
Top 5%
1.3%
Top 3%
1.2%
Top 10%
1.2%
Top 0.8%
1.0%
Top 12%
0.9%
Top 9%
0.9%
Top 7%
0.7%
Top 8%
0.7%
Top 4%
0.7%
Top 6%
0.7%
Top 7%
0.5%
Lesion-Centric Latent Phenotypes from Segmentation Encoders for Breast Ultrasound Interpretability
2026-03-06
radiology and imaging
Title + abstract only
View on medRxiv
Show abstract
We propose a lesion-centric phenotype learning pipeline for interpretable breast ultrasound (BUS). Predicted lesion masks are used for mask-weighted pooling of segmentation-encoder latents, producing compact embeddings that suppress background influence; a lightweight calibration step improves cross-dataset consistency. We cluster embeddings to discover latent phenotypes and relate phenotype structure to morphology descriptors (compactness, boundary sharpness). On BUSI and BUS-UCLM with external...
Predicted journal destinations
1
Scientific Reports
701 training papers
2
Nature Communications
483 training papers
3
PLOS ONE
1737 training papers
4
Computers in Biology and Medicine
39 training papers
5
npj Digital Medicine
85 training papers
6
eLife
262 training papers
7
NeuroImage
36 training papers
8
PLOS Digital Health
88 training papers
9
Human Brain Mapping
53 training papers
10
Scientific Data
30 training papers
11
Imaging Neuroscience
18 training papers
12
NeuroImage: Clinical
77 training papers
13
Journal of Biomedical Informatics
37 training papers
14
Diagnostics
36 training papers
15
PLOS Computational Biology
141 training papers
16
Biology Methods and Protocols
19 training papers
17
Nature Medicine
88 training papers
18
eBioMedicine
82 training papers
19
Communications Medicine
63 training papers
20
Cancers
57 training papers
21
Clinical Cancer Research
22 training papers
22
Frontiers in Oncology
34 training papers
23
BMC Cancer
21 training papers