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Medical Image Analysis

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Showing 651–675 of 1360 papers

TitleStatusHype
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images—0
ICADx: Interpretable computer aided diagnosis of breast masses—0
Cross-Task Representation Learning for Anatomical Landmark Detection—0
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators—0
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models—0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation—0
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction—0
From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee—0
Image To Tree with Recursive Prompting—0
iMedImage Technical Report—0
IMIL: Interactive Medical Image Learning Framework—0
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction—0
Conditional Adversarial Network for Semantic Segmentation of Brain Tumor—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
Diffeomorphic Image Registration with Neural Velocity Field—0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism—0
Frequency Domain Decomposition Translation for Enhanced Medical Image Translation Using GANs—0
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis—0
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis—0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients—0
KA^2ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation—0
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT—0
Improving cognitive diagnostics in pathology: a deep learning approach for augmenting perceptional understanding of histopathology images—0
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation—0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
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