Medical Diagnosis

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

21 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 222 papers with code (714 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
  7 Apr 2020 8 repositories listed
  This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening.
• DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
  9 May 2024 3 repositories listed
  Moreover, virtual binary modal masks are utilized to refine the range of values in k-space data through highly adaptive center windows, which allows the model to focus its attention more efficiently.
• A Benchmark of Medical Out of Distribution Detection
  8 Jul 2020 3 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  However it is unclear which OoDD method should be used in practice.
• D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation
  14 Aug 2019 3 repositories listed
  This function adds a weighted focal coefficient and combines two traditional loss functions.
• DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks
  7 Jun 2019 3 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we develop a theoretical framework to approximate Bayesian inference for DNNs by imposing a Bernoulli distribution on the model weights.
• Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
  21 Jan 2019 3 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  Label shift refers to the phenomenon where the prior class probability p(y) changes between the training and test distributions, while the conditional probability p(x|y) stays fixed.
• AD-LLM: Benchmarking Large Language Models for Anomaly Detection
  15 Dec 2024 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Anomaly detection (AD) is an important machine learning task with many real-world uses, including fraud detection, medical diagnosis, and industrial monitoring.
• A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
  21 May 2024 2 repositories listed
  Through an extensive review and analysis of 169 studies, we present recent technical advancements, discuss existing challenges, potential solutions, and future directions in this field.
• Generating Progressive Images from Pathological Transitions via Diffusion Model
  21 Nov 2023 2 repositories listed
  Deep learning is widely applied in computer-aided pathological diagnosis, which alleviates the pathologist workload and provide timely clinical analysis.
• DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
  10 Oct 2023 2 repositories listed
  Multi-label text classification (MLTC) tasks in the medical domain often face the long-tail label distribution problem.
• A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
  1 Sep 2023 2 repositories listed
  For this reason, this work presents a novel theoretical and practical framework to evaluate object detection systems in the context of uncertainty calibration.
• Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
  15 Aug 2023 2 repositories listed
  In this study, we explored if SSL for pre-training on non-medical images can be applied to chest radiographs and how it compares to supervised pre-training on non-medical images and on medical images.
• Adversarial Feature Map Pruning for Backdoor
  21 Jul 2023 2 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Unlike existing defense strategies, which focus on reproducing backdoor triggers, FMP attempts to prune backdoor feature maps, which are trained to extract backdoor information from inputs.
• M²SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
  20 Mar 2023 2 repositories listed
  Next, we expand the single-scale SU to the intra-layer multi-scale SU, which can provide the decoder with both pixel-level and structure-level difference information.
• Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
  16 Mar 2023 2 repositories listed
  We introduce a novel method for training machine learning models in the presence of noisy labels, which are prevalent in domains such as medical diagnosis and autonomous driving and have the potential to degrade a…
• Reasoning with Language Model Prompting: A Survey
  19 Dec 2022 2 repositories listed
  Reasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc.
• MEDFAIR: Benchmarking Fairness for Medical Imaging
  4 Oct 2022 2 repositories listed
  In this work, we introduce MEDFAIR, a framework to benchmark the fairness of machine learning models for medical imaging.
• DDXPlus: A New Dataset For Automatic Medical Diagnosis
  18 May 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this work, we present a large-scale synthetic dataset of roughly 1.
• RuMedBench: A Russian Medical Language Understanding Benchmark
  17 Jan 2022 2 repositories listed
  The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel…
• Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification
  1 Dec 2021 2 repositories listed
  To address this issue, we devise an adaptive mechanism to align reinforcement learning and classification methods using distribution entropy as the medium.
• Learning Optimal Conformal Classifiers
  18 Oct 2021 2 repositories listed Syntology ran 1 of 24 samples · 23 unverified · 3 pointer-only (licence)
  However, using CP as a separate processing step after training prevents the underlying model from adapting to the prediction of confidence sets.
• Medical Profile Model: Scientific and Practical Applications in Healthcare
  21 Jun 2021 2 repositories listed
  The paper researches the problem of representation learning for electronic health records.
• SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data
  21 Apr 2021 2 repositories listed
  The downstream task in our paper is a class imbalanced multi-label classification.
• Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans
  14 Jan 2021 2 repositories listed
  The experimental results show that our automatically searched models (CovidNet3D) outperform the baseline human-designed models on the three datasets with tens of times smaller model size and higher accuracy.
• UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
  21 Feb 2020 2 repositories listed Syntology ran 5 of 12 samples · 7 unverified
  UnMask detects such attacks and defends the model by rectifying the misclassification, re-classifying the image based on its robust features.
• Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
  20 Mar 2019 2 repositories listed
  We present a deep convolutional neural network for breast cancer screening exam classification, trained and evaluated on over 200, 000 exams (over 1, 000, 000 images).
• Detecting and Correcting for Label Shift with Black Box Predictors
  12 Feb 2018 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  Faced with distribution shift between training and test set, we wish to detect and quantify the shift, and to correct our classifiers without test set labels.
• TCAV: Relative concept importance testing with Linear Concept Activation Vectors
  1 Jan 2018 2 repositories listed
  In particular, this framework enables non-machine learning experts to express concepts of interests and test hypotheses using examples (e.
• High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
  21 Mar 2017 2 repositories listed
  In our work, we propose to use a multi-view deep convolutional neural network that handles a set of high-resolution medical images.
• Multi-layer Representation Learning for Medical Concepts
  17 Feb 2016 2 repositories listed
  Learning efficient representations for concepts has been proven to be an important basis for many applications such as machine translation or document classification.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.