mlsanityData to 7 Oct 2026

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features

arXiv 2407.05683 ↗First posted 8 Jul 2024eess.IV cs.AI cs.CVcited by 5

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Abstract (arXiv)

Motivated by the question, "Can we generate tumors with desired attributes?'' this study leverages radiomics features to explore the feasibility of generating synthetic tumor images. Characterized by its low-dimensional yet biologically meaningful markers, radiomics bridges the gap between complex medical imaging data and actionable clinical insights. We present RadiomicsFill-Mammo, the first of the RadiomicsFill series, an innovative technique that generates realistic mammogram mass images mirroring specific radiomics attributes using masked images and opposite breast images, leveraging a recent stable diffusion model. This approach also allows for the incorporation of essential clinical variables, such as BI-RADS and breast density, alongside radiomics features as conditions for mass generation. Results indicate that RadiomicsFill-Mammo effectively generates diverse and realistic tumor images based on various radiomics conditions. Results also demonstrate a significant improvement in mass detection capabilities, leveraging RadiomicsFill-Mammo as a strategy to generate simulated samples. Furthermore, RadiomicsFill-Mammo not only advances medical imaging research but also opens new avenues for enhancing treatment planning and tumor simulation. Our code is available at https://github.com/nainye/RadiomicsFill.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 12 of its 24 references that are in the map. First posted on arXiv 8 Jul 2024.

Builds on

12 of 24 references.

References · 12

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  3. 2022Classifier-Free Diffusion Guidancecited by 5,717
  4. 2018GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classificationcited by 242
  5. 2022Unsupervised Medical Image Translation with Adversarial Diffusion Modelscited by 191
  6. 2018Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networkscited by 146
  7. 2022VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammographycited by 83
  8. 2023Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Studycited by 64
  9. 2022Improving dermatology classifiers across populations using images generated by large diffusion modelscited by 25
  10. 2022Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Reportcited by 18
  11. 2018Assessing robustness of radiomic features by image perturbationcited by 9
  12. 2023Synthetic Tumor Manipulation: With Radiomics Featurescited by 2

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Cited by year

Citing papers per year: 2025: 5.

5 papers.

  1. 2025LCMem: A Universal Model for Robust Image Memorization Detectioncited by 4
  2. 2025Enabling PSO-Secure Synthetic Data Sharing Using Diversity-Aware Diffusion Modelscited by 3
  3. 2025Joint Holistic and Lesion Controllable Mammogram Synthesis via Gated Conditional Diffusion Modelcited by 1
  4. 2025Tumor Synthesis conditioned on Radiomicscited by 1
  5. 2025Simulating Post-Neoadjuvant Chemotherapy Breast Cancer MRI via Diffusion Model with Prompt Tuningcited by 0

Similar, not cited

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  1. 2023MAM-E: Mammographic synthetic image generation with diffusion models
  2. 2025Paired Image Generation with Diffusion-Guided Diffusion Models
  3. 2022Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
  4. 2025Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
  5. 2025MammoRGB: Dual-View Mammogram Synthesis Using Denoising Diffusion Probabilistic Models
  6. 2025Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
  7. 2025MAMBO: High-Resolution Generative Approach for Mammography Images
  8. 2024Diffusion-Based Approaches in Medical Image Generation and Analysis