Medical Imaging Datasets

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Latest in Medical Imaging Datasets

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IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets
Sep 15, 2026Abhilaksh Singh Reen, Kushal Borkar, Ritvik MahapatraMedical Imaging Datasets Human-In-The-Loop
Understanding the Impact of Model Pruning on Long-Tail Forgetting and Explanation Reliability in Medical Imaging
Sep 7, 2026Nazish Khalid, Tausifa Jan Saleem, Amal Saqib +2Medical Imaging Datasets Catastrophic Forgetting
Exemplar: Classical Priors Complement Frozen Features for Few-Shot Microscopy Segmentation at Native Resolution
Sep 2, 2026Michal Průšek, Adam Novozámský, Filip ŠroubekFew-Shot Segmentation Medical Imaging Datasets
Counterfactual Contrastive Analysis
Aug 19, 2026Yunlong He, Pietro GoriCounterfactual Learning Counterfactual Explanation
How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging
Aug 12, 2026Yiheng Xiong, Luisa Gallée, Daniel Santak Wolf +2Domain Adaptation Medical Imaging Datasets
When Repository Labels Are Not Image-Level Truth: A Supervision Auditing Framework for Chest Radiograph AI
Aug 10, 2026Yesika Alexandra Agudelo-Londoño, Jhon Wilmer Pino-Román, Brahian Carrera Rodríguez +9Chest X-Ray Medical Imaging Datasets
DisMix: Order-Aware Mixup for Medical Imaging via Disentangling Ordinal and Non-Ordinal Features
Aug 5, 2026Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting ChenMedical Imaging Datasets Medical Imaging
LiNC: Lightweight Noise Correction via Per-Sample Trust and Gaussian Mixture Modeling
Aug 4, 2026Abhishek Moturu, Babak Taati, Anna GoldenbergNoisy Labels Medical Imaging Datasets
Beyond Random Partitioning: Unsupervised Spatio-Temporal Stratification for Cohort Balancing in Longitudinal Medical Imaging
Jul 29, 2026Qinghui Liu, Jon André Ottesen, Atle Bjørnerud +1Medical Imaging Datasets Partitioning
PhenSPINE: A Standardized Benchmark for Spine Pathology Diagnosis
Jul 22, 2026Duong Ngoc Vu, Hai Son Nguyen, Trong-Nghia Nguyen +4Cervical Spine Medical Imaging Datasets
Learning To Focus: Anatomy-Guided Attention Regularization for Medical Image Classification
Jul 12, 2026Tonmoy Hossain, Atiqur Rahman, Farhana Hossain Swarnali +1Medical Image Classification Anatomical Priors
ClinOCR-Bench: A Comprehensive Clinical Scanned Document Dataset for Optical Character Recognition Model Evaluation
Jul 4, 2026Enshuo Hsu, Jin Zhou, Kirk RobertsOptical Character Recognition Medical Imaging Datasets
CPR: Chained Perceptual Refinement for Coarse-to-Fine Medical Image Classification
Jul 1, 2026Si-Yuan Lu, Hanruo Zhu, Ziquan Zhu +6Medical Image Classification Medical Imaging Datasets
PSP: Harnessing Position and Shape Priors for Cross-Domain Few-Shot Medical Image Segmentation
Jun 27, 2026Bin Xu, Yazhou Zhu, Haofeng ZhangFew-Shot Medical Image Segmentation Medical Image Segmentation
Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning
Jun 24, 2026Muhammed Furkan Dasdelen, Fatih Ozlugedik, Anastasia Litinetskaya +3Synthetic Data Augmentation Multiple Instance Learning
BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases
Jun 23, 2026Qi Chen, Wenxuan Li, Pedro R. A. S. Bassi +14Medical Imaging Datasets Non-Small Cell Lung Cancer
Interpretable Probabilistic Medical Image Segmentation via Gaussian Process with Explicit Modelling of Annotation Bias and Variability
Jun 22, 2026Qi Li, Yuliang Huang, Shaheer U. Saeed +7Medical Image Segmentation Medical Imaging Datasets
Large Language Model-Assisted Cleaning of Report-Derived Labels in a Large-Scale Chest CT Dataset
Jun 21, 2026Yosuke Yamagishi, Atsushi Takamatsu, Mototsugu Sato +4Medical Imaging Datasets Medical Vision-Language Models
SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis
Jun 20, 2026Niyoj Oli, Sachin Acharya, Sandesh Pokhrel +7Colorectal Cancer Video Capsule Endoscopy
OTCHA: Optimal Transport-driven Confidence-aware Latent Hub Alignment for Multi-View Medical Image Classification
Jun 18, 2026Jiwoong Yang, Haejun Chung, Ikbeom JangMedical Image Classification Multi-View
Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation
Jun 15, 2026Truong Vu, Minh Khoi Ho, Yutong XieFew-Shot Medical Image Segmentation Few-Shot Segmentation
CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection
Jun 3, 2026Roberto Di Via, Irina Voiculescu, Francesca Odone +1One-Shot Medical Landmark Detection Medical Imaging Datasets
Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain
Jun 3, 2026Alessandro Gambetti, Qiwei Han, Cláudia Soares +1Medical Vision-Language Models Modality Gap
PMC-InterCPT: Rethinking Biomedical Interleaved Data for Multimodal Continued Pretraining
May 31, 2026Guanghao Zhu, Zeyu Liu, Zhitian Hou +9Multimodal Clinical Data Multimodal Pretraining
hZACH-ViT: Curved Latent Geometry for Compact Vision Transformers in Low-Data Medical Imaging
May 30, 2026Athanasios AngelakisSelf-Supervised Vision Transformers Vision Transformer
Cohort-Scale Neural Atlases of Ultrasound Video
May 30, 2026Zhuorui Zhang, Roger Pallarès-López, Xuan Wu +2Ultrasound Video Dataset
On Revisiting Entropy for Identifying Mislabeled Images
May 29, 2026Chunlei Li, Zixuan Zheng, Yilei Shi +5Medical Imaging Datasets Deep Network
A Dynamic Programming Framework for Discovering Count and Values of Multilevel Image Thresholding
May 26, 2026Eslam Hegazy, Mohamed GabrMultilevel Image Thresholding Image Processing
Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning
May 25, 2026Taha Koleilat, Hassan Rivaz, Yiming XiaoVision-Language Model Adaptation Cross-Modal Learning
Methodology for Creating a Clinically Verified Dermoscopic Image Dataset
May 24, 2026Kozachok Elena SergeevnaSkin Lesion Classification Medical Imaging Datasets
Case-Aware Medical Image Classification with Multimodal Knowledge Graphs and Reliability-Guided Refinement
May 21, 2026Yiming Xu, Yixuan Liu, Yuhang Zhang +3Medical Image Classification Multimodal Clinical Data
Detection of Virus and Small Cell Patches in Foci Images Using Switchable Convolution and Feature Pyramid Networks
May 21, 2026Amrita Singh, Snehasis MukherjeeFeature Pyramid Networks Viral Sharing
Entropy-Guided Self-Supervised Learning for Medical Image Classification
May 21, 2026Joao Florindo, Viviane MouraMedical Image Classification Medical Imaging Datasets
Automatic Discovery of Disease Subgroups by Contrasting with Healthy Controls
May 20, 2026Robin Louiset, Edouard Duchesnay, Benoit Dufumier +2Subgroup Information Medical Imaging Datasets
WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images
May 19, 2026Satoshi Tsutsui, Winnie Pang, Shuting He +1Acute Myeloid Leukemia Pixel-Level Annotation
Task-Agnostic Noisy Label Detection via Standardized Loss Aggregation
May 11, 2026Inhyuk Park, Doohyun ParkNoisy Labels Medical Imaging Datasets
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection
May 2, 2026Ceausescu Ciprian-Mihai, Anghelina Ion-Marian, Alexe Dumitru-BogdanMedical Imaging Datasets Medical Image Segmentation
DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
May 1, 2026Vishal, Arnav Aditya, Nitin Kumar +1Extreme Class Imbalance Medical Imaging Datasets
People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation
Apr 28, 2026Zheng Zhang, Milad Masroor, Cuong Nguyen +6Fairness-Aware Learning Medical Image Classification
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
Apr 25, 2026Emre Ardıç, Yakup GençFederated Learning Differential Privacy
EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms
Apr 23, 2026Brian VanVoorst, Nicholas Walczak, Christopher Gilleo +9Egocentric Dataset Medical Imaging Datasets
Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
Apr 22, 2026Ana Sanchez-Fernandez, Thomas Pinetz, Werner Zellinger +1Domain Adaptation Medical Imaging Datasets
Reinforcement Learning Improves LLM Accuracy and Reasoning in Disease Classification from Radiology Reports
Apr 21, 2026Yishu Wei, Yi Lin, Adam Flanders +2Radiology Report Generation Disease Detection
VIDS: A Verified Imaging Dataset Standard for Medical AI
Apr 19, 2026Joan S. Muthu, John ShalenMedical Imaging Datasets Vision Datasets
Beyond Attack Success Rate: A Multi-Metric Evaluation of Adversarial Transferability in Medical Imaging Models
Apr 16, 2026Emily Curl, Kofi Ampomah, Md Erfan +1Adversarial Transferability Medical Imaging Datasets
Spatial Autoregressive Modeling of DINOv3 Embeddings for Unsupervised Anomaly Detection
Mar 3, 2026Ertunc Erdil, Nico Schulthess, Guney Tombak +1Reconstruction-Based Anomaly Detection Anomaly Detection
Reliable Mislabel Detection for Video Capsule Endoscopy Data
Feb 6, 2026Julia Werner, Julius Oexle, Oliver Bause +5Video Capsule Endoscopy Medical Imaging Datasets
Efficient Conformal Prediction for Regression Models under Label Noise
Sep 18, 2025Yahav Cohen, Jacob Goldberger, Tom TirerConformal Prediction Confidence Intervals
MedRepBench: A Comprehensive Benchmark for Medical Report Interpretation
Aug 21, 2025Fangxin Shang, Yuan Xia, Dalu Yang +2Medical Visual Question Answering Medical Report Generation
Good Enough? An Investigation on the Impact of Label Quality in Large-Scale Medical Datasets
May 27, 2025Alexander Jaus, Zdravko Marinov, Constantin Seibold +4Medical Imaging Datasets Pseudo-Labeling

Sep 15, 2026 · cs.CVJ/K move · Enter open · S save

IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets

Abhilaksh Singh Reen, Kushal Borkar, Ritvik Mahapatra

Independent Researcher, Delhi, India · Independent Researcher, Kolkata, India · California State University, Fresno, CA, USA

Annotating large radiology datasets is bottlenecked by the manual effort of delineating structures slice-by-slice in 3D volumes. Interactive methods reduce this effort but stay interaction-inefficient: slice-wise methods (including many foundation models) ignore inter-slice continuity, while 3D and video-based methods propagate a prompt with a \emph{fixed} propagator that never adapts to the target volume, so it drifts on low-contrast or pathological structures and must be re-prompted. We present IMVS, a human-in-the-loop annotation framework that composes three components into a closed loop rather than a new segmentation primitive: a lightweight 2D Slice Mask Adapter (SMA) fine-tuned online from user scribbles, a frozen Volume Mask Tracker (VMT) that propagates corrected masks across adjacent slices, and a soft teacher--student alignment that limits forgetting. The SMA is backbone-agnostic (UNet++, DeepLabV3, TransUNet). Across 8 public CT/MRI datasets, IMVS matches strong interactive baselines in quality while sharply cutting annotation effort:

14.4\times

faster than a proficient copy-based manual workflow (

22.3\times

over naive manual),

4.6\times

over slice-wise and

1.9\times

over 3D interactive methods. MedSAM2 and ScribblePrompt stay competitive or stronger on well-delineated organs; IMVS's advantage is largest on challenging targets and on interaction efficiency. Source code and Demo Video: https://github.com/AbhilakshSinghReen/imvs.

Medical Imaging Datasets Human-In-The-Loop 3D Object Understanding

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