mlsanityData to 14 Oct 2026

Advancing Lung Disease Diagnosis in 3D CT Scans

arXiv 2507.00993 ↗First posted 1 Jul 2025eess.IV cs.CVcited by 4

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Abstract (arXiv)

To enable more accurate diagnosis of lung disease in chest CT scans, we propose a straightforward yet effective model. Firstly, we analyze the characteristics of 3D CT scans and remove non-lung regions, which helps the model focus on lesion-related areas and reduces computational cost. We adopt ResNeSt50 as a strong feature extractor, and use a weighted cross-entropy loss to mitigate class imbalance, especially for the underrepresented squamous cell carcinoma category. Our model achieves a Macro F1 Score of 0.80 on the validation set of the Fair Disease Diagnosis Challenge, demonstrating its strong performance in distinguishing between different lung conditions.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 1 Jul 2025.

Builds on

14 of 30 references.

References · 14

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2016Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localizationcited by 6,733
  3. 2020Out-of-Distribution Generalization via Risk Extrapolation (REx)cited by 742
  4. 2020ResNeSt: Split-Attention Networkscited by 445
  5. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  6. 2021MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysiscited by 72
  7. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  8. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  9. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
  10. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  11. 2022CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priorscited by 7
  12. 2022Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classificationcited by 7
2 more
  1. 2024Advancing COVID-19 Detection in 3D CT Scanscited by 5
  2. 2023Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scanscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Clinical Priors Guided Lung Disease Detection in 3D CT Scanscited by 0
  2. 2026Vision-Language Model Based Multi-Expert Fusion for CT Image Classificationcited by 0
  3. 2026Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisationcited by 0
  4. 2026Robust Multi-Source Covid-19 Detection in CT Imagescited by 0