Lung Cancer Diagnosis

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

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

16 shown of 16 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.

• Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
  12 Sep 2019 2 repositories listed
  To the best of our knowledge, this is the first study to investigate capsule networks for making predictions based on radiologist-level interpretable attributes and its applications to medical image diagnosis.
• Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
  14 May 2025 1 repository listed
  Deep learning models have shown promise in lung pathology detection from chest X-rays, but widespread clinical adoption remains limited due to opaque model decision-making.
• Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
  28 Dec 2024 1 repository listed
  Ensuring trustworthiness is fundamental to the development of artificial intelligence (AI) that is considered societally responsible, particularly in cancer diagnostics, where a misdiagnosis can have dire consequences.
• Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
  25 Nov 2024 1 repository listed
  Purpose: This study evaluates the performance of lesion-level and chest-region models for lung cancer classification, comparing their effectiveness across internal Duke Lung Nodule Dataset 2024 (DLND24) and external…
• Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
  18 Oct 2024 1 repository listed
  The recent emergence of deep learning has revolutionized medical image analysis, driving substantial advancements in this field.
• MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
  21 Sep 2024 1 repository listed
  Pulmonary nodules are critical indicators for the early diagnosis of lung cancer, making their detection essential for timely treatment.
• Snuffy: Efficient Whole Slide Image Classifier
  15 Aug 2024 1 repository listed
  Our sparsity pattern is tailored for pathology and is theoretically proven to be a universal approximator with the tightest probabilistic sharp bound on the number of layers for sparse transformers, to date.
• A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset
  26 Jun 2024 1 repository listed
  Recently, intelligent analysis of lung nodules with the assistant of computer aided detection (CAD) techniques can improve the accuracy rate of lung cancer diagnosis.
• 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.
• Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
  27 Nov 2023 1 repository listed
  Proposed models were trained on lesions extracted from 3D CT scans in the LIDC-IDRI public dataset.
• 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.
• Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
  4 Sep 2022 1 repository listed
  In cross-validation on screening chest CTs from the NLST, our methods (0.
• Knowledge-based Analysis for Mortality Prediction from CT Images
  20 Feb 2019 1 repository listed
  Recent studies have highlighted the high correlation between cardiovascular diseases (CVD) and lung cancer, and both are associated with significant morbidity and mortality.
• Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
  31 Jan 2019 1 repository listed
  It achieved a kappa score of 0.
• Synthetic Lung Nodule 3D Image Generation Using Autoencoders
  19 Nov 2018 1 repository listed
  One of the challenges of using machine learning techniques with medical data is the frequent dearth of source image data on which to train.
• Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
  17 Sep 2018 1 repository listed
  In this study, we trained a deep convolutional neural network (inception v3) on whole-slide images obtained from The Cancer Genome Atlas to accurately and automatically classify them into LUAD, LUSC or normal lung…