mlsanityData to 7 Oct 2026

CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning

arXiv 2111.11646 ↗First posted 23 Nov 2021cs.CV cs.AI q-bio.QMcited by 7

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Abstract (arXiv)

Motivation: In recent years, image-based biological assays have steadily become high-throughput, sparking a need for fast automated methods to extract biologically-meaningful information from hundreds of thousands of images. Taking inspiration from the success of ImageNet, we curate CytoImageNet, a large-scale dataset of openly-sourced and weakly-labeled microscopy images (890K images, 894 classes). Pretraining on CytoImageNet yields features that are competitive to ImageNet features on downstream microscopy classification tasks. We show evidence that CytoImageNet features capture information not available in ImageNet-trained features. The dataset is made available at https://www.kaggle.com/stanleyhua/cytoimagenet.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 23 Nov 2021.

Builds on

6 of 21 references.

References · 6

  1. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  2. 2018Do Better ImageNet Models Transfer Better?cited by 560
  3. 2013DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognitioncited by 422
  4. 2014CNN Features off-the-shelf: an Astounding Baseline for Recognitioncited by 316
  5. 2016What makes ImageNet good for transfer learning?cited by 192
  6. 2019The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifierscited by 3

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Cited by year

Citing papers per year: 2023: 4; 2024: 0; 2025: 3.

7 papers.

  1. 2023CHAMMI: A benchmark for channel-adaptive models in microscopy imagingcited by 18
  2. 2023ChAda-ViT : Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Imagescited by 15
  3. 2023Multi-omics Prediction from High-content Cellular Imaging with Deep Learningcited by 3
  4. 2023Morphological Profiling for Drug Discovery in the Era of Deep Learningcited by 3
  5. 2025Learning Binary Sampling Patterns for Single-Pixel Imaging using Bilevel Optimisationcited by 1
  6. 2025CHAMMI-75: Pre-training multi-channel models with heterogeneous microscopy imagescited by 1
  7. 2025Physics-Informed Graph Neural Networks for Frequency-Aware Optical Aberration Correctioncited by 0