Image de couverture de livre

Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Schueppert, Amelia, Glocker, Ben, Roschewitz, Mélanie
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CF-Seg: Counterfactuals meet Segmentation
par: Mehta, Raghav, et autres
Publié: (2025)

Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
par: Čevora, Kate, et autres
Publié: (2024)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
par: Mehta, Raghav, et autres
Publié: (2025)

Improving the generalization of deep learning models in the segmentation of mammography images
par: Hurtado, Jan, et autres
Publié: (2025)

Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression
par: Shehata, Nairouz, et autres
Publié: (2025)

Cardiovascular disease classification using radiomics and geometric features from cardiac CT
par: Mittal, Ajay, et autres
Publié: (2025)

Vector Representations of Vessel Trees
par: Batten, James, et autres
Publié: (2025)

SegmentAnything helps microscopy images based automatic and quantitative organoid detection and analysis
par: Xing, Xiaodan, et autres
Publié: (2023)

Instant automatic diagnosis of diabetic retinopathy
par: Quellec, Gwenolé, et autres
Publié: (2019)

Style transfer as data augmentation: evaluating unpaired image-to-image translation models in mammography
par: Ahmed, Emir, et autres
Publié: (2025)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
par: Luo, Gongning, et autres
Publié: (2023)

Vision-based automatic fruit counting with UAV
par: Szolc, Hubert, et autres
Publié: (2025)

TransUNext: towards a more advanced U-shaped framework for automatic vessel segmentation in the fundus image
par: Li, Xiang, et autres
Publié: (2024)

METRIC: a complete methodology for performances evaluation of automatic target Detection, Recognition and Tracking algorithms in infrared imagery
par: Gilles, Jérôme, et autres
Publié: (2024)

OCTolyzer: Fully automatic toolkit for segmentation and feature extracting in optical coherence tomography and scanning laser ophthalmoscopy data
par: Burke, Jamie, et autres
Publié: (2024)

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis
par: Agarwal, Siddharth, et autres
Publié: (2024)

A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
par: Lackner, Michael, et autres
Publié: (2024)

Enhancing the automatic segmentation and analysis of 3D liver vasculature models
par: Machta, Yassine, et autres
Publié: (2024)

Seg-CycleGAN : SAR-to-optical image translation guided by a downstream task
par: Zhang, Hannuo, et autres
Publié: (2024)

DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
par: Ruiz-Perez, Marina, et autres
Publié: (2024)

Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identification
par: Jang, Tae Jun, et autres
Publié: (2021)

Map-aided annotation for pole base detection
par: Missaoui, Benjamin, et autres
Publié: (2024)

SLOctolyzer: Fully automatic analysis toolkit for segmentation and feature extracting in scanning laser ophthalmoscopy images
par: Burke, Jamie, et autres
Publié: (2024)

Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI
par: Bosma, Joeran S., et autres
Publié: (2021)

Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
par: Truong, Tuan, et autres
Publié: (2026)

Anomaly detection for the identification of volcanic unrest in satellite imagery
par: Popescu, Robert Gabriel, et autres
Publié: (2024)

MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques
par: Wirth, Vanessa, et autres
Publié: (2024)

Embedded event based object detection with spiking neural network
par: Courtois, Jonathan, et autres
Publié: (2024)

The establishment of static digital humans and the integration with spinal models
par: Ju, Fujiao, et autres
Publié: (2025)

Dirty and Clean-Label attack detection using GAN discriminators
par: Smutny, John W.
Publié: (2025)

Integrating electrocardiogram and fundus images for early detection of cardiovascular diseases
par: Muthukumar, K. A., et autres
Publié: (2025)

Five Pitfalls When Assessing Synthetic Medical Images with Reference Metrics
par: Dohmen, Melanie, et autres
Publié: (2024)

High-confidence pseudo-labels for domain adaptation in COVID-19 detection
par: Turnbull, Robert, et autres
Publié: (2024)

Landslide mapping from Sentinel-2 imagery through change detection
par: Monopoli, Tommaso, et autres
Publié: (2024)

Unlocking adaptive digital pathology through dynamic feature learning
par: Li, Jiawen, et autres
Publié: (2024)

Lidar-based Norwegian tree species detection using deep learning
par: Vermeer, Martijn, et autres
Publié: (2023)

Mitosis detection in domain shift scenarios: a Mamba-based approach
par: Percannella, Gennaro, et autres
Publié: (2025)

Compress-Align-Detect: onboard change detection from unregistered images
par: Inzerillo, Gabriele, et autres
Publié: (2025)

A recurrent CNN for online object detection on raw radar frames
par: Decourt, Colin, et autres
Publié: (2022)

Comprehensive Modeling of Camera Spectral and Color Behavior
par: Abeysekera, Sanush K, et autres
Publié: (2025)