Full Description
The three-volume set LNCS 15916,15917 & 15918 constitutes the refereed proceedings of the 29th Annual Conference on Medical Image Understanding and Analysis, MIUA 2025, held in Leeds, UK, during July 15-17, 2025.
The 67 revised full papers presented in these proceedings were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections:
Part I: Frontiers in Computational Pathology; and Image Synthesis and Generative Artificial Intelligence.
Part II: Image-guided Diagnosis; and Image-guided Intervention.
Part III: Medical Image Segmentation; and Retinal and Vascular Image Analysis.
Contents
.- Image-guided Diagnosis.
.- FD-SSD: Semi-Supervised Detection of Bone Fenestration and Dehiscence in Intraoral Images.
.- Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders.
.- Self-Guided SwinTransformer Improves Breast Cancer Detection Through Iterative Attention-Based Zooming.
.- Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes It Happen.
.- A Novel Feature-Prioritized Loss Function for Enhanced Pneumonia Segmentation in Chest X-rays.
.- Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis.
.- Multi-Scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection.
.- Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction.
.- Modified CBAM: Sub-Block Pooling for Improved Channel and Spatial Attention.
.- WSI-AL: A Novel Active Learning Framework for Whole Slide Image Selection.
.- A Deep-learning Approach for Diagnosing and Grading Ankylosing Spondylitis Sacroiliitis by X-ray Images.
.- Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis.
.- Image-guided Intervention.
.- Joint Dento-Facial Shape Model.
.- Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit.
.- Deep Learning-Driven Pipeline for Automated Wound Measurement of Chronic Wounds.
.- Midline-constrained Loss in the Anatomical Landmark Segmentation of 3D Liver Models.
.- DepthClassNet: A Multitask Framework for Monocular Depth Estimation and Texture Classification in Endoscopic Imaging.
.- Assessing the Generalization Performance of SAM for Ureteroscopy Scene Segmentation and Understanding.
.- Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms.
.- Classification of Gastroscopy Images Under extreme Class Imbalance: A Deep Learning Pipeline.
.- Temporally Consistent Smoke Removal from Endoscopic Video Images.
.- Toward Patient-specific Partial Point Cloud to Surface Completion for Pre- to Intra-operative Registration in Image-guided Liver Interventions.
.- EfficientDet with Knowledge Distillation and Instance Whitening for Real-time and Generalisable Polyp Detection.
