SegBanana: Steering Unified Multimodal Models into Medical Segmenters

arXiv:2609.34235 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Generalization — 5× in this paper · explained in 13 episodes
• Redundancy — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Foundation Model — 4× in this paper · explained in 3 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Mask Generation — 3× in this paper · explained in 2 episodes
• Multimodal Reasoning — 3× in this paper · explained in 5 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Agentic Framework — 2× in this paper · explained in 6 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Maximal Marginal Relevance — 2× in this paper
• Segmentation Masks — 2× in this paper · explained in 2 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Agentic Controller — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Emerging Properties in Unified Multimodal Pretraining
• Image Generators are Generalist Vision Learners
• Vision as Unified Multimodal Generation
• GenAgent: Scaling Text-to-Image Generation via Agentic Multimodal Reasoning
• IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation
• PixelArena: A benchmark for Pixel-Precision Visual Intelligence
• UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation
• MedSAM3: Delving into Segment Anything with Medical Concepts
• MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
• Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
• Zero-shot capability of SAM-family models for bone segmentation in CT scans
• Preference Adaptive and Sequential Text-to-Image Generation
• A Survey on Domain Generalization for Medical Image Analysis
• Agentic Retoucher for Text-To-Image Generation
• DINOv3
• Chameleon: Mixed-Modal Early-Fusion Foundation Models
• ImAgent: A Unified Multimodal Agent Framework for Test-Time Scalable Image Generation

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