tumor segmentation

R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection CVPR 2026 SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology WACV 2026 Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models CVPR 2025 Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion ICML 2025 MFTrans: A Multi-Resolution Fusion Transformer for Robust Tumor Segmentation in Whole Slide Images WACV 2025 M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast ICCV 2025 RadGPT: Constructing 3D Image-Text Tumor Datasets ICCV 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025 CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation NeurIPS 2024 Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing MIDL 2023 Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are? MIDL 2022 Region Aware Transformer for Automatic Breast Ultrasound Tumor Segmentation MIDL 2022 Adding seemingly uninformative labels helps in low data regimes ICML 2020 Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans MIDL 2020 A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps MIDL 2019