{"product_id":"medical-image-understanding-and-analysis-9783031986901","title":"Medical Image Understanding and Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eImage-guided Diagnosis\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- FD-SSD: Semi-Supervised Detection of Bone Fenestration and Dehiscence in Intraoral Images.\u003c\/p\u003e\u003cp\u003e.- Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders.\u003c\/p\u003e\u003cp\u003e.- Self-Guided SwinTransformer Improves Breast Cancer Detection Through Iterative Attention-Based Zooming.\u003c\/p\u003e\u003cp\u003e.- Can AI Be Faster, Accurate, and Explainable? SpikeNet Makes It Happen.\u003c\/p\u003e\u003cp\u003e.- A Novel Feature-Prioritized Loss Function for Enhanced Pneumonia Segmentation in Chest X-rays.\u003c\/p\u003e\u003cp\u003e.- Bridging Accuracy and Explainability: A SHAP-Enhanced CNN for Skin Cancer Diagnosis.\u003c\/p\u003e\u003cp\u003e.- Multi-Scale WSI Analysis: A Cascade Framework for Efficient Breast Cancer Metastasis Detection.\u003c\/p\u003e\u003cp\u003e.- Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction.\u003c\/p\u003e\u003cp\u003e.- Modified CBAM: Sub-Block Pooling for Improved Channel and Spatial Attention.\u003c\/p\u003e\u003cp\u003e.- WSI-AL: A Novel Active Learning Framework for Whole Slide Image Selection.\u003c\/p\u003e\u003cp\u003e.- A Deep-learning Approach for Diagnosing and Grading Ankylosing Spondylitis Sacroiliitis by X-ray Images.\u003c\/p\u003e\u003cp\u003e.- Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis.\u003c\/p\u003e\u003cp\u003e.-\u003cstrong\u003e Image-guided Intervention\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Joint Dento-Facial Shape Model.\u003c\/p\u003e\u003cp\u003e.- Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit.\u003c\/p\u003e\u003cp\u003e.- Deep Learning-Driven Pipeline for Automated Wound Measurement of Chronic Wounds.\u003c\/p\u003e\u003cp\u003e.- Midline-constrained Loss in the Anatomical Landmark Segmentation of 3D Liver Models.\u003c\/p\u003e\u003cp\u003e.- DepthClassNet: A Multitask Framework for Monocular Depth Estimation and Texture Classification in Endoscopic Imaging.\u003c\/p\u003e\u003cp\u003e.- Assessing the Generalization Performance of SAM for Ureteroscopy Scene Segmentation and Understanding.\u003c\/p\u003e\u003cp\u003e.- Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms.\u003c\/p\u003e\u003cp\u003e.- Classification of Gastroscopy Images Under extreme Class Imbalance: A Deep Learning Pipeline.\u003c\/p\u003e\u003cp\u003e.- Temporally Consistent Smoke Removal from Endoscopic Video Images.\u003c\/p\u003e\u003cp\u003e.- Toward Patient-specific Partial Point Cloud to Surface Completion for Pre- to Intra-operative Registration in Image-guided Liver Interventions.\u003c\/p\u003e\u003cp\u003e.- EfficientDet with Knowledge Distillation and Instance Whitening for Real-time and Generalisable Polyp Detection.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195505762647,"sku":"9783031986901","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/medical-image-understanding-and-analysis-9783031986901","provider":"Book Curl","version":"1.0","type":"link"}