Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Singh, Pranav, Chukkapalli, Raviteja, Chaudhari, Shravan, Chen, Luoyao, Chen, Mei, Pan, Jinqian, Smuda, Craig, Cirrone, Jacopo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
by: Singh, Pranav, et al.
Published: (2024)
by: Singh, Pranav, et al.
Published: (2024)
Free Form Medical Visual Question Answering in Radiology
by: Narayanan, Abhishek, et al.
Published: (2024)
by: Narayanan, Abhishek, et al.
Published: (2024)
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025)
by: Bi, Yali, et al.
Published: (2025)
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)
by: Feng, Hao, et al.
Published: (2024)
Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification
by: Miyaguchi, Anthony, et al.
Published: (2023)
by: Miyaguchi, Anthony, et al.
Published: (2023)
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
by: Pan, Qingtao, et al.
Published: (2024)
by: Pan, Qingtao, et al.
Published: (2024)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)
by: Shen, Zhiqiang, et al.
Published: (2024)
Universal Semi-Supervised Learning for Medical Image Classification
by: Ju, Lie, et al.
Published: (2023)
by: Ju, Lie, et al.
Published: (2023)
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
by: Yan, Ke, et al.
Published: (2024)
by: Yan, Ke, et al.
Published: (2024)
Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
by: Xiong, Xinyu, et al.
Published: (2024)
by: Xiong, Xinyu, et al.
Published: (2024)
Hypergraph Transformer for Semi-Supervised Classification
by: Liu, Zexi, et al.
Published: (2023)
by: Liu, Zexi, et al.
Published: (2023)
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation
by: Kaleta, Joanna, et al.
Published: (2024)
by: Kaleta, Joanna, et al.
Published: (2024)
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)
by: Chi, Hanyang, et al.
Published: (2024)
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)
by: Abhishek, Kumar, et al.
Published: (2026)
Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)
by: Lu, Yunyao, et al.
Published: (2025)
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution
by: Chaudhari, Shravan, et al.
Published: (2025)
by: Chaudhari, Shravan, et al.
Published: (2025)
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic Segmentation
by: Zhang, Dengke, et al.
Published: (2025)
by: Zhang, Dengke, et al.
Published: (2025)
Efficient Image Annotation via Semi-Supervised Object Segmentation with Label Propagation
by: Tutevych, Vitalii, et al.
Published: (2026)
by: Tutevych, Vitalii, et al.
Published: (2026)
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
by: Rougé, Pierre, et al.
Published: (2024)
by: Rougé, Pierre, et al.
Published: (2024)
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
by: Zhu, Guanghao, et al.
Published: (2024)
by: Zhu, Guanghao, et al.
Published: (2024)
Depth-Guided Semi-Supervised Instance Segmentation
by: Chen, Xin, et al.
Published: (2024)
by: Chen, Xin, et al.
Published: (2024)
Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation
by: Qu, Jingguo, et al.
Published: (2026)
by: Qu, Jingguo, et al.
Published: (2026)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image Segmentation
by: Zheng, Fuchen, et al.
Published: (2024)
by: Zheng, Fuchen, et al.
Published: (2024)
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
by: Meng, Dongdong, et al.
Published: (2025)
by: Meng, Dongdong, et al.
Published: (2025)
Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation
by: Huang, Kaiwen, et al.
Published: (2026)
by: Huang, Kaiwen, et al.
Published: (2026)
Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
by: He, Shihuan, et al.
Published: (2025)
by: He, Shihuan, et al.
Published: (2025)
Dual Student Discrepancy Correction for Semi‐Supervised Medical Image Segmentation
by: Zhenfu Sang, et al.
Published: (2026)
by: Zhenfu Sang, et al.
Published: (2026)
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration
by: Liu, Qianying, et al.
Published: (2024)
by: Liu, Qianying, et al.
Published: (2024)
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation
by: He, Jiaying, et al.
Published: (2025)
by: He, Jiaying, et al.
Published: (2025)
Evidential Deep Active Learning for Semi-Supervised Classification
by: Zhao, Shenkai, et al.
Published: (2025)
by: Zhao, Shenkai, et al.
Published: (2025)
Semi-Supervised Disease Classification based on Limited Medical Image Data
by: Zhang, Yan, et al.
Published: (2024)
by: Zhang, Yan, et al.
Published: (2024)
Bayesian Self-Training for Semi-Supervised 3D Segmentation
by: Unal, Ozan, et al.
Published: (2024)
by: Unal, Ozan, et al.
Published: (2024)
Geometric Imbalance in Semi-Supervised Node Classification
by: Yan, Liang, et al.
Published: (2023)
by: Yan, Liang, et al.
Published: (2023)
Dense Self-Supervised Learning for Medical Image Segmentation
by: Seince, Maxime, et al.
Published: (2024)
by: Seince, Maxime, et al.
Published: (2024)
Self-Supervised Alignment Learning for Medical Image Segmentation
by: Li, Haofeng, et al.
Published: (2024)
by: Li, Haofeng, et al.
Published: (2024)
Similar Items
-
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation
by: Singh, Pranav, et al.
Published: (2024) -
Free Form Medical Visual Question Answering in Radiology
by: Narayanan, Abhishek, et al.
Published: (2024) -
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024) -
Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025) -
Integration of Self-Supervised BYOL in Semi-Supervised Medical Image Recognition
by: Feng, Hao, et al.
Published: (2024)