Lung Nodule Detection

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

13 shown of 13 papers with code (59 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.

• Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
  14 Jul 2020 2 repositories listed
  To this end, we train deep models to learn semantically enriched visual representation by self-discovery, self-classification, and self-restoration of the anatomy underneath medical images, resulting in a…
• Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
  19 Aug 2019 2 repositories listed
  More importantly, learning a model from scratch simply in 3D may not necessarily yield performance better than transfer learning from ImageNet in 2D, but our Models Genesis consistently top any 2D approaches including…
• DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection
  6 Apr 2019 2 repositories listed
  Pulmonary nodule detection plays an important role in lung cancer screening with low-dose computed tomography (CT) scans.
• DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule Detection
  14 May 2018 2 repositories listed
  Recently deep learning has been witnessing widespread adoption in various medical image applications.
• Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
  21 May 2025 1 repository listed
  The limited availability of annotated medical imaging data remains a bottleneck in developing accurate computer-aided diagnosis (CAD) systems.
• Improving Representation of High-frequency Components for Medical Visual Foundation Models
  19 Jul 2024 1 repository listed Syntology ran 15 of 17 samples · 2 unverified
  Foundation models have recently attracted significant attention for their impressive generalizability across diverse downstream tasks.
• AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
  7 May 2024 1 repository listed
  The DLCSD-mD model achieved an AUC of 0.
• A systematic approach to deep learning-based nodule detection in chest radiographs
  21 Jun 2023 1 repository listed
  We illustrate how this analysis and a combination of multiple architectures results in state-of-the-art performance for lung nodule detection, which is demonstrated by the proposed model winning the detection track of…
• Specialty-Oriented Generalist Medical AI for Chest CT Screening
  3 Apr 2023 1 repository listed
  Modern medical records include a vast amount of multimodal free text clinical data and imaging data from radiology, cardiology, and digital pathology.
• Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
  25 Nov 2021 1 repository listed
  Here, we propose a method for continual active learning operating on a stream of medical images in a multi-scanner setting.
• SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
  12 Apr 2021 1 repository listed
  To overcome these problems, we propose a 3D sphere representation-based center-points matching detection network that is anchor-free and automatically predicts the position, radius, and offset of nodules without the…
• Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
  8 Apr 2020 1 repository listed
  Lung malignancy is one of the most common causes of death in the world caused by malignant lung nodules which commonly diagnosed radiologically by radiologists.
• A Systematic Analysis for State-of-the-Art 3D Lung Nodule Proposals Generation
  9 Jan 2018 1 repository listed
  Lung nodule proposals generation is the primary step of lung nodule detection and has received much attention in recent years .

Syntology lines on 1 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.