Pneumonia Detection

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

22 shown of 22 papers with code (63 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.

• CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
  14 Nov 2017 47 repositories listed Syntology ran 7 of 37 samples · 30 unverified · 12 pointer-only (licence)
  We develop an algorithm that can detect pneumonia from chest X-rays at a level exceeding practicing radiologists.
• BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
  2 Mar 2023 5 repositories listed
  Therefore, training an effective generalist biomedical model requires high-quality multimodal data, such as parallel image-text pairs.
• Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing
  21 Apr 2022 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  We release a new dataset with locally-aligned phrase grounding annotations by radiologists to facilitate the study of complex semantic modelling in biomedical vision--language processing.
• Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
  3 Jun 2020 2 repositories listed
  The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and has challenged different sectors.
• AI-Enhanced Pediatric Pneumonia Detection: A CNN-Based Approach Using Data Augmentation and Generative Adversarial Networks (GANs)
  13 Jul 2025 1 repository listed
  This study presents a machine learning-based Pediatric Chest Pneumonia Classification System to assist healthcare professionals in diagnosing pneumonia from chest X-ray images.
• Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
  19 Feb 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 1 pointer-only (licence)
  Large multimodal models (LMMs) have shown impressive capabilities in a wide range of visual tasks.
• Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
  8 Aug 2024 1 repository listed
  Our method introduces a lightweight transformer-enhanced TransUNet for precise lung segmentation, achieving a Dice score of 95.
• FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays
  21 Jun 2024 1 repository listed
  Our proposed method achieves accuracy rates of 97.
• Optimized Deep Feature Selection for Pneumonia Detection: A Novel RegNet and XOR-Based PSO Approach
  31 Aug 2023 1 repository listed
  In this research, an XOR based Particle Swarm Optimization (PSO) is proposed to select deep features from the second last layer of a RegNet model, aiming to improve the accuracy of the CNN model on Pneumonia detection.
• Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning
  8 Dec 2022 1 repository listed
  In this work, we pre-train DNNs on ultrasound (US) domains instead of ImageNet to reduce the domain gap in medical US applications.
• An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays
  6 Aug 2022 1 repository listed
  The proposed method successfully eliminates non-informative features obtained from the ResNet50 model, thereby improving the Pneumonia detection ability of the overall framework.
• Supervised Dictionary Learning with Auxiliary Covariates
  14 Jun 2022 1 repository listed
  Supervised dictionary learning (SDL) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a priori aligned objectives.
• Image quality assessment for machine learning tasks using meta-reinforcement learning
  27 Mar 2022 1 repository listed
  In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable with respect to a given downstream task, or task amenability.
• COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks
  14 Dec 2021 1 repository listed
  The chest radiograph appearance of COVID-19 pneumonia is thought to be nonspecific, having presented a challenge to identify an optimal architecture of a convolutional neural network (CNN) that would classify with a…
• The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
  14 Sep 2021 1 repository listed
  Model performance results have been exceptional when training and testing on open-source data, surpassing the reported capabilities of AI in pneumonia-detection prior to the COVID-19 outbreak.
• MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
  17 Oct 2020 1 repository listed
  Various AI functionalities such as pattern recognition and prediction can effectively be used to diagnose (recognize) and predict coronavirus disease 2019 (COVID-19) infections and propose timely response (remedial…
• CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization
  1 Jul 2020 1 repository listed
  Learning of this initial training phase is transferred with some additional fine-tuning layers that are further trained with a smaller number of chest X-rays corresponding to COVID-19 and other pneumonia patients.
• COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
  16 Jun 2020 1 repository listed
  One of the primary clinical observations for screening the infectious by the novel coronavirus is capturing a chest x-ray image.
• Deep Learning for Automatic Pneumonia Detection
  28 May 2020 1 repository listed Syntology ran 0 of 10 samples · 10 unverified
  Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide.
• MUXConv: Information Multiplexing in Convolutional Neural Networks
  31 Mar 2020 1 repository listed Syntology ran 3 of 5 samples · 2 unverified · 5 pointer-only (licence)
  To overcome this limitation, we present MUXConv, a layer that is designed to increase the flow of information by progressively multiplexing channel and spatial information in the network, while mitigating computational…
• Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
  3 Dec 2019 1 repository listed
  While existing approaches have achieved competitive performance in image classification, they are not well suited to problems where the computational budget is limited for two reasons: (1) the obtained architectures are…
• Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain
  18 Dec 2018 1 repository listed
  Deep learning models trained in natural images are commonly used for different classification tasks in the medical domain.

Syntology lines on 5 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.