Which images to label for few-shot medical landmark detection?
Fuente:
arXiv
Saved in:
| Main Authors: | Quan, Quan, Yao, Qingsong, Li, Jun, Zhou, S. Kevin |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
by: Li, Wanyi, et al.
Published: (2025)
by: Li, Wanyi, et al.
Published: (2025)
Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
by: Szűcs, Ádám István, et al.
Published: (2024)
by: Szűcs, Ádám István, et al.
Published: (2024)
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024)
by: Khanal, Bidur, et al.
Published: (2024)
Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025)
by: Tang, Fenghe, et al.
Published: (2025)
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
by: Zhou, Juexiao, et al.
Published: (2023)
by: Zhou, Juexiao, et al.
Published: (2023)
Framing image registration as a landmark detection problem for label-noise-aware task representation (HitR)
by: Waldmannstetter, Diana, et al.
Published: (2023)
by: Waldmannstetter, Diana, et al.
Published: (2023)
Deep learning in medical image registration: introduction and survey
by: Hammoudeh, Ahmad, et al.
Published: (2023)
by: Hammoudeh, Ahmad, et al.
Published: (2023)
MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention
by: Arora, Aadya, et al.
Published: (2025)
by: Arora, Aadya, et al.
Published: (2025)
Reconstruction of 3D lumbar spine models from incomplete segmentations using landmark detection
by: Blomenkamp, Lara, et al.
Published: (2024)
by: Blomenkamp, Lara, et al.
Published: (2024)
BAAF: A benchmark attention adaptive framework for medical ultrasound image segmentation tasks
by: Chen, Gongping, et al.
Published: (2023)
by: Chen, Gongping, et al.
Published: (2023)
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification
by: Sadeghnezhad, Elham, et al.
Published: (2024)
by: Sadeghnezhad, Elham, et al.
Published: (2024)
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
by: Ozkan, Ece, et al.
Published: (2023)
by: Ozkan, Ece, et al.
Published: (2023)
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion
by: Guo, Lianghu, et al.
Published: (2024)
by: Guo, Lianghu, et al.
Published: (2024)
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
by: Santini, Francesco, et al.
Published: (2023)
by: Santini, Francesco, et al.
Published: (2023)
Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images
by: Akbar, Muhammad Usman, et al.
Published: (2023)
by: Akbar, Muhammad Usman, et al.
Published: (2023)
Bi-modality medical images synthesis by a bi-directional discrete process matching method
by: Xiong, Zhe, et al.
Published: (2024)
by: Xiong, Zhe, et al.
Published: (2024)
Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
by: Jang, Jongseong, et al.
Published: (2022)
by: Jang, Jongseong, et al.
Published: (2022)
High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
by: Jonnarth, Arvi, et al.
Published: (2023)
by: Jonnarth, Arvi, et al.
Published: (2023)
Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
by: Hu, Jintong, et al.
Published: (2024)
by: Hu, Jintong, et al.
Published: (2024)
Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability
by: Salari, Soorena, et al.
Published: (2024)
by: Salari, Soorena, et al.
Published: (2024)
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
by: Nguyen, Tan H., et al.
Published: (2023)
by: Nguyen, Tan H., et al.
Published: (2023)
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
by: Pokhrel, Sandesh, et al.
Published: (2023)
by: Pokhrel, Sandesh, et al.
Published: (2023)
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Using generative AI to investigate medical imagery models and datasets
by: Lang, Oran, et al.
Published: (2023)
by: Lang, Oran, et al.
Published: (2023)
Self-supervised denoising of visual field data improves detection of glaucoma progression
by: Wu, Sean, et al.
Published: (2024)
by: Wu, Sean, et al.
Published: (2024)
Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection
by: Mansoori, Mobina, et al.
Published: (2024)
by: Mansoori, Mobina, et al.
Published: (2024)
Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
by: Wang, Zihao, et al.
Published: (2024)
by: Wang, Zihao, et al.
Published: (2024)
Deep Supervision by Gaussian Pseudo-label-based Morphological Attention for Abdominal Aorta Segmentation in Non-Contrast CTs
by: Ma, Qixiang, et al.
Published: (2024)
by: Ma, Qixiang, et al.
Published: (2024)
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images
by: Specktor-Fadida, Bella, et al.
Published: (2024)
by: Specktor-Fadida, Bella, et al.
Published: (2024)
One-shot skill assessment in high-stakes domains with limited data via meta learning
by: Yanik, Erim, et al.
Published: (2022)
by: Yanik, Erim, et al.
Published: (2022)
Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction
by: Bell, Evan, et al.
Published: (2025)
by: Bell, Evan, et al.
Published: (2025)
Lung Cancer detection using Deep Learning
by: Chaudhari, Aryan, et al.
Published: (2025)
by: Chaudhari, Aryan, et al.
Published: (2025)
Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
by: Prashanth, R.
Published: (2024)
by: Prashanth, R.
Published: (2024)
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical data
by: Diaz, Ivan, et al.
Published: (2023)
by: Diaz, Ivan, et al.
Published: (2023)
Is attention all you need in medical image analysis? A review
by: Papanastasiou, Giorgos, et al.
Published: (2023)
by: Papanastasiou, Giorgos, et al.
Published: (2023)
Hair and scalp disease detection using deep learning
by: Sultanpure, Kavita, et al.
Published: (2024)
by: Sultanpure, Kavita, et al.
Published: (2024)
Attention-aware non-rigid image registration for accelerated MR imaging
by: Ghoul, Aya, et al.
Published: (2024)
by: Ghoul, Aya, et al.
Published: (2024)
Semi-supervised learning for generalizable intracranial hemorrhage detection and segmentation
by: Lin, Emily, et al.
Published: (2021)
by: Lin, Emily, et al.
Published: (2021)
AlphaDent: A dataset for automated tooth pathology detection
by: Sosnin, Evgeniy I., et al.
Published: (2025)
by: Sosnin, Evgeniy I., et al.
Published: (2025)
Similar Items
-
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
by: Li, Wanyi, et al.
Published: (2025) -
Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
by: Szűcs, Ádám István, et al.
Published: (2024) -
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
by: Khanal, Bidur, et al.
Published: (2024) -
Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
by: Tang, Fenghe, et al.
Published: (2025) -
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
by: Zhou, Juexiao, et al.
Published: (2023)