AI RESEARCH
Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization
arXiv CS.CV
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ArXi:2604.10970v1 Announce Type: new Background: Task-specific microscopy datasets are often small, making it difficult to train deep learning models that on large, domain-specific datasets, generalizability across datasets with differing staining protocols and channel configurations remains underexplored. We investigated the generalizability of SSL models pretrained on ImageNet-1k and HPA FOV, evaluating their embeddings on OpenCell with and without fine-tuning, two channel-mismatch strategies, and varying fine-tuning data fractions. We. additionally.