Quantized Machine Learning Models for Medical Imaging in Low-Resource Healthcare Settings
Fuente:
arXiv
Saved in:
| Main Authors: | Kanneti, Sumanth Meenan, Shah, Aryan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging the Rural Healthcare Gap: A Cascaded Edge-Cloud Architecture for Automated Retinal Screening
by: Doshi, Nishi, et al.
Published: (2026)
by: Doshi, Nishi, et al.
Published: (2026)
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
by: Bonato, Jacopo, et al.
Published: (2024)
by: Bonato, Jacopo, et al.
Published: (2024)
Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings
by: Abid, Abderrazek, et al.
Published: (2025)
by: Abid, Abderrazek, et al.
Published: (2025)
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
by: Shah, Manan, et al.
Published: (2024)
by: Shah, Manan, et al.
Published: (2024)
CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation
by: Esmaeili, Parhom, et al.
Published: (2026)
by: Esmaeili, Parhom, et al.
Published: (2026)
Multitask Multimodal Self-Supervised Learning for Medical Images
by: Simionescu, Cristian
Published: (2025)
by: Simionescu, Cristian
Published: (2025)
DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models
by: Ke, Wenjin, et al.
Published: (2025)
by: Ke, Wenjin, et al.
Published: (2025)
Enhancing Diffusion Models for High-Quality Image Generation
by: Shah, Jaineet, et al.
Published: (2024)
by: Shah, Jaineet, et al.
Published: (2024)
MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings
by: Jayakody, Dineth, et al.
Published: (2026)
by: Jayakody, Dineth, et al.
Published: (2026)
Model Checking in Medical Imaging for Tumor Detection and Segmentation
by: Elfatimi, Elhoucine, et al.
Published: (2025)
by: Elfatimi, Elhoucine, et al.
Published: (2025)
Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting
by: Patodiya, Aryan, et al.
Published: (2026)
by: Patodiya, Aryan, et al.
Published: (2026)
Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
by: Wang, Junyao, et al.
Published: (2024)
by: Wang, Junyao, et al.
Published: (2024)
VS-DDPM: Efficient Low-Cost Diffusion Model for Medical Modality Translation
by: Moradi, Nikoo, et al.
Published: (2026)
by: Moradi, Nikoo, et al.
Published: (2026)
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
by: Queiroz, Dilermando, et al.
Published: (2025)
by: Queiroz, Dilermando, et al.
Published: (2025)
MoQE: Improve Quantization Model performance via Mixture of Quantization Experts
by: Zhang, Jinhao, et al.
Published: (2025)
by: Zhang, Jinhao, et al.
Published: (2025)
MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization
by: Su, Le, et al.
Published: (2026)
by: Su, Le, et al.
Published: (2026)
Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
Continual Error Correction on Low-Resource Devices
by: Paramonov, Kirill, et al.
Published: (2025)
by: Paramonov, Kirill, et al.
Published: (2025)
A Foundation Model for General Moving Object Segmentation in Medical Images
by: Yan, Zhongnuo, et al.
Published: (2023)
by: Yan, Zhongnuo, et al.
Published: (2023)
A Lightweight Neural Architecture Search Model for Medical Image Classification
by: Xie, Lunchen, et al.
Published: (2024)
by: Xie, Lunchen, et al.
Published: (2024)
SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
by: Wu, Yilei, et al.
Published: (2023)
by: Wu, Yilei, et al.
Published: (2023)
Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
by: Zhu, Xun, et al.
Published: (2025)
by: Zhu, Xun, et al.
Published: (2025)
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
by: Xie, Jingjing, et al.
Published: (2024)
by: Xie, Jingjing, et al.
Published: (2024)
Harmonic Machine Learning Models are Robust
by: Kersting, Nicholas S., et al.
Published: (2024)
by: Kersting, Nicholas S., et al.
Published: (2024)
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
by: Tsutsumi, Ayaka, et al.
Published: (2025)
by: Tsutsumi, Ayaka, et al.
Published: (2025)
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation
by: Fischer, Stefan M., et al.
Published: (2025)
by: Fischer, Stefan M., et al.
Published: (2025)
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models
by: Poudel, Kanchan, et al.
Published: (2023)
by: Poudel, Kanchan, et al.
Published: (2023)
Navigating Data Scarcity using Foundation Models: A Benchmark of Few-Shot and Zero-Shot Learning Approaches in Medical Imaging
by: Woerner, Stefano, et al.
Published: (2024)
by: Woerner, Stefano, et al.
Published: (2024)
Using Synthetic Images to Augment Small Medical Image Datasets
by: Vu, Minh H., et al.
Published: (2025)
by: Vu, Minh H., et al.
Published: (2025)
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning
by: Fan, Chongyu, et al.
Published: (2024)
by: Fan, Chongyu, et al.
Published: (2024)
GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
by: Parast, Aryan Yazdan, et al.
Published: (2025)
by: Parast, Aryan Yazdan, et al.
Published: (2025)
SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
by: Jovišić, Nikola, et al.
Published: (2026)
by: Jovišić, Nikola, et al.
Published: (2026)
Harmonizing Generalization and Specialization: Uncertainty-Informed Collaborative Learning for Semi-supervised Medical Image Segmentation
by: Lu, Wenjing, et al.
Published: (2025)
by: Lu, Wenjing, et al.
Published: (2025)
Haphazard Inputs as Images in Online Learning
by: Agarwal, Rohit, et al.
Published: (2025)
by: Agarwal, Rohit, et al.
Published: (2025)
Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact
by: Bundele, Valay, et al.
Published: (2024)
by: Bundele, Valay, et al.
Published: (2024)
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning
by: Islam, A. K. M. Shoriful, et al.
Published: (2025)
by: Islam, A. K. M. Shoriful, et al.
Published: (2025)
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
by: Choi, Kanghyun, et al.
Published: (2024)
by: Choi, Kanghyun, et al.
Published: (2024)
Large-Scale Evaluation of Open-Set Image Classification Techniques
by: Bisgin, Halil, et al.
Published: (2024)
by: Bisgin, Halil, et al.
Published: (2024)
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)
by: Lee, Dongyeun, et al.
Published: (2025)
Similar Items
-
Bridging the Rural Healthcare Gap: A Cascaded Edge-Cloud Architecture for Automated Retinal Screening
by: Doshi, Nishi, et al.
Published: (2026) -
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images
by: Bonato, Jacopo, et al.
Published: (2024) -
Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings
by: Abid, Abderrazek, et al.
Published: (2025) -
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
by: Shah, Manan, et al.
Published: (2024) -
CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation
by: Esmaeili, Parhom, et al.
Published: (2026)