{"product_id":"medical-image-understanding-and-analysis-9783031986871","title":"Medical Image Understanding and Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- \u003cstrong\u003eFrontiers in Computational Pathology\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Transductive Survival Ranking for Pan-cancer Automatic Risk Stratification using Whole Slide Images.\u003c\/p\u003e\u003cp\u003e.- Benchmarking Histopathology Foundation Models in a Multi-center Dataset for Skin Cancer Subtyping.\u003c\/p\u003e\u003cp\u003e.- MitoNet: Efficient Ki-67 Detection in H\u0026amp;E-Stained Images.\u003c\/p\u003e\u003cp\u003e.- ASTER: Automated Segmentation of Endometrial Histology Images for Reproductive Health Assessment.\u003c\/p\u003e\u003cp\u003e.- Leveraging Pathology Foundation Models for Panoptic Segmentation of Melanoma in H\u0026amp;E Images.\u003c\/p\u003e\u003cp\u003e.- SMatt-DINO: Spatially Aware Masked Attention Network for High Resolution Brain Image Classification.\u003c\/p\u003e\u003cp\u003e.- Persistent Homology and Gabor Features Reveal Inconsistencies Between Widely Used Colorectal Cancer Training and Testing Datasets.\u003c\/p\u003e\u003cp\u003e.- SWIFT-Reg: Slide-Wide Intelligent Feature-based Tissue Registration.\u003c\/p\u003e\u003cp\u003e.- Learnable Moran’s Index for Modeling Spatial Autocorrelation in Whole Slide Images to Predict Breast Cancer Outcomes.\u003c\/p\u003e\u003cp\u003e.- \u003cstrong\u003eImage Synthesis and Generative Artificial Intelligence\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e.- Augmenting Chest X-ray Datasets with Non-Expert Annotations.\u003c\/p\u003e\u003cp\u003e.- Leveraging Synthetic Data for Whole-Body Segmentation in X-ray Images.\u003c\/p\u003e\u003cp\u003e.- Transform(AI)ng Radiology with CheXSBT: Integrating Dual-Attention Swin Transformer with BERT for Seamless Chest X-Ray Report Generation.\u003c\/p\u003e\u003cp\u003e.- Cardiac Ultrasound Video Generation Using a Diffusion Model with Temporal Transformer.\u003c\/p\u003e\u003cp\u003e.- KCLVA: Knowledge-enhanced Contrastive Learning and View-specific Attention for Chest X-ray Report Generation.\u003c\/p\u003e\u003cp\u003e.- BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization.\u003c\/p\u003e\u003cp\u003e.- MediAug: Exploring Visual Augmentation in Medical Imaging.\u003c\/p\u003e\u003cp\u003e.- On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?.\u003c\/p\u003e\u003cp\u003e.- DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training.\u003c\/p\u003e\u003cp\u003e.- Knowledge-Driven Hypothesis Generation for Burn Diagnosis from Ultrasound with Vision-Language Model.\u003c\/p\u003e\u003cp\u003e.- Multimodal Federated Learning With Missing Modalities through Feature Imputation Network.\u003c\/p\u003e\u003cp\u003e.- Parameter-Efficient Multimodal Adaptation for Certified Robustness of Medical Vision-Language Models.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195505631575,"sku":"9783031986871","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/medical-image-understanding-and-analysis-9783031986871","provider":"Book Curl","version":"1.0","type":"link"}