2 papers
cs.LG2024
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
Tanvi Verma, Lukas Schwemer, Mingrui Tan +3
Deep learning models are widely recognized for their effectiveness in identifying medical image findings in disease classification. However, their limitations become apparent in th…
eess.IV2024
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
Kun Huang, Xiao Ma, Yuhan Zhang +5
Optical coherence tomography (OCT) image analysis plays an important role in the field of ophthalmology. Current successful analysis models rely on available large datasets, which…