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Computed Tomography (CT)
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The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.
<span style="color:grey; opacity: 0.6">( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Latent Space Consistency for Sparse-View CT Reconstruction
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
$μ^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution
Enhancing Synthetic CT from CBCT via Multimodal Fusion: A Study on the Impact of CBCT Quality and Alignment
TissUnet: Improved Extracranial Tissue and Cranium Segmentation for Children through Adulthood
ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction
Tomographic Foundation Model -- FORCE: Flow-Oriented Reconstruction Conditioning Engine
A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
pyMEAL: A Multi-Encoder Augmentation-Aware Learning for Robust and Generalizable Medical Image Translation
Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation
CT-Agent: A Multimodal-LLM Agent for 3D CT Radiology Question Answering
Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Nonperiodic dynamic CT reconstruction using backward-warping INR with regularization of diffeomorphism (BIRD)
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
Continuous Filtered Backprojection by Learnable Interpolation Network
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
A simple and effective approach for body part recognition on CT scans based on projection estimation
NUDF: Neural Unsigned Distance Fields for high resolution 3D medical image segmentation
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing
Deciphering scrolls with tomography: A training experiment
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks
Synthetic CT Generation from Time-of-Flight Non-Attenutaion-Corrected PET for Whole-Body PET Attenuation Correction
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy
End2end-ALARA: Approaching the ALARA Law in CT Imaging with End-to-end Learning
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.