LEARNING
MoMBS: Mixed-order sampling improves training on heterogeneous-quality data for universal lesion detection.
Li H, Liu J, Schüffler P, Han H, Zhou SK
- Year
- 2026
- Journal
- Medical image analysis
Keywords
mixed-order samplinguniversal lesion detectionheterogeneous-quality datatrainingmedical imaging
Related papers
LEARNING
📊 8,465 cites
The Organization of Behavior
D. O. Hebb
2005
LEARNING
📊 7,678 cites
Fractional Brownian Motions, Fractional Noises and Applications
Benoît B. Mandelbrot, John W. Van Ness
1968
LEARNING
Open access📊 7,484 cites
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi +7 more
2021
LEARNING
📊 4,608 cites
A guide to deep learning in healthcare
Andre Esteva, Alexandre Robicquet, Bharath Ramsundar +7 more
2018