Non-Small Cell Lung Cancer

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Period ending 2026-09-21

6 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. M3D-Net: Hierarchical Coordination of Spatial Context, Feature Reuse, and Differential Attention for Mammography Classification

    Sep 23, 2026Zheng Yu, Xinhang Li, Jiabao Gao +2Mammography

  2. nnFoundation: 3D Foundation Models for Radiology

    Sep 22, 2026Constantin Ulrich Harsy, Tassilo Wald, Karol Gotkowski +803D Foundation ModelsRadiomics

  3. Foundation model embeddings capture pre-diagnostic changes on screening mammograms

    Sep 22, 2026Kalina P. Slavkova, Eric Brattain, Aditya Gowd +6MammographyElectronic Health Record Foundation Models

  4. Radiomics-Conditioned Modulation of RenalCLIP Features for Clear Cell Renal Cell Carcinoma Classification

    Sep 22, 2026Yuan Liang, Sourav Bhattacharjee, Abraham CampbellRadiomics

  5. Complementary Roles of Radiomics and Foundation Representations in Renal Cell Carcinoma Classification: A Comparative Study of 2D and 3D CT Encodings

    Sep 22, 2026Yuan Liang, Sourav Bhattacharjee, Abraham CampbellRadiomics

  6. A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update

    Sep 21, 2026Anne-Christin Hauschild, Amirreza Aleyasin, Nils H. Beyer +12Non-Small Cell Lung Cancer

  7. ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis

    Sep 17, 2026Zahra Ghaffari, Massih Bahar, Mojgan Forootan +2Colorectal CancerPolyp Segmentation

  8. FCA-Guided Counterfactual Explanations for Multi-Modal Breast Cancer Diagnosis: A Framework Achieving Perfect Validity with Emergent Sparsity

    Sep 17, 2026Abdullahi Isa, Souley Boukari, Muhammad AliyuMammographyCounterfactual Explanation

  9. Mammography Foundation Models for Opportunistic Prediction of Major Adverse Cardiovascular Events

    Sep 16, 2026Paula Feldman, Nusrat Binta Nizam, Sunwoo Kwak +3Cardiometabolic RiskMammography

  10. A Lightweight CNN Integrated Compact Convolutional Transformer for Multi-Scale Feature Learning and reducing computational complexity for breast cancer mammography image detection and classification

    Sep 16, 2026Md Taimur Ahad, Ainuddin AhmedMammographyHybrid Transformer

  11. Decentralized Gossip Learning and Federated Averaging for Histopathology Image Classification

    Sep 15, 2026Yusuf Ozturk, Enes Goltekin, Bengisu Atli +2Federated AveragingNon-Small Cell Lung Cancer

  12. A Dual Cross-Attention Framework for Colposcopic CIN Grading and Swede Score Prediction Using a New Multi-Center Dataset

    Sep 14, 2026Dania Khan, Nuzhat Aisha Shaikh, Asfina Hassan Juicy +3Non-Small Cell Lung CancerAuc-Roc

  13. Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature

    Sep 11, 2026Pablo Ramirez AmadorLung-Nodule DetectorNon-Small Cell Lung Cancer

  14. Pre- and Post-Treatment Brain Metastases Segmentation Using nnU-Net with Post-Processing for BraTS 2026

    Sep 11, 2026Haobin Liu, Xin WangBrain Tumor SegmentationU-Net

  15. Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction

    Sep 10, 2026Nisreen Albzour, Sarah S. LamEnsembleNon-Small Cell Lung Cancer

  16. CHIMERA Challenge Task 2 and 3: Response Subtypes Classification and Progression Survival Prediction in Bladder Cancer Patients using Multimodal Datasets

    Sep 8, 2026Catherine Chia, Tongjie Wang, Robert Spaans +12Non-Small Cell Lung CancerSurvival Predictions

  17. MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis

    Sep 8, 2026Hanyi Zhang, Maximilian Hoermann, Lion J. Gleiter +5Tissue ArchitectureAgent Framework

  18. SIFTING: A Novel LLM-Based Framework for Structured and Transparent Information Extraction from Clinical Free-Text Reports, with Application to Tumor Staging in Lung Cancer

    Sep 7, 2026Mirco Hess, Gerben van Veenendaal, Joris Wakkie +5Medical Report GenerationNon-Small Cell Lung Cancer

  19. Solving the Needle-in-a-Haystack Problem in Mammography Vision-Language Model with Differentiable Subset Sampling

    Sep 2, 2026Young Seok Jeon, Beatrice Brown-Mulry, Rohan Satya Isaac +5Medical Vision-Language ModelsMammography

  20. Semantic-Guided Multimodal Preprocessing for Vision Transformer-Based Clear Cell Renal Cell Carcinoma Grading

    Sep 1, 2026Fatemeh Javadian, Zhu Chen, Zahra Aminparast +1Non-Small Cell Lung CancerComputational Pathology

  21. TRUST: Threshold-Recalibrated Uncertainty-Safe Training for Certified Dismissal in Breast Cancer Screening

    Aug 31, 2026Parham Hajishafiezahramini, Matthew Hamilton, Edward Kendall +2Non-Small Cell Lung CancerScreening

  22. From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction

    Aug 29, 2026Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12Cancer Genome AtlasNon-Small Cell Lung Cancer

  23. Development and Feasibility Evaluation of an Edge AI as Medical Device System for Breast Cancer Multidisciplinary Team Meetings

    Aug 22, 2026Aarzoo Dhiman, Farzana Haque, Iqtedar Muazzam +3Real-World Clinical WorkflowsMammography

  24. Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

    Aug 11, 2026Max A. Nelson, Eminenur Sen Tasci, Zhixiang Wang +12RadiomicsNon-Small Cell Lung Cancer

  25. Clinical Feasibility of Low-Magnification Fluorescence Imaging for Breast Cancer Margin Detection Using Texture Analysis and Deep Learning

    Aug 11, 2026Pouya Afshin, Tianling Niu, Tongtong Lu +6MammographyMicroscopy

  26. PolypVision: A Three-Stage Hierarchical Deep Learning Framework for Classification and Segmentation of Colorectal Polyps

    Aug 11, 2026Hamidreza Bolhasani, Hamidreza Rastad, Amir Mohammad Akbari +4Polyp SegmentationColorectal Cancer

  27. MammoMix: Leveraging Mixture of Experts for Robust Mammogram Breast Detection

    Aug 11, 2026Dinh Tan Nguyen, Hoang Quan Dang, Chen Zhang +1MammographyMixture-of-Experts Models

  28. Lesion-Aware Adaptive Fourier Neural Operator for CT-to-PSMA PET Synthesis in Prostate Cancer

    Aug 11, 2026Rashmi Bhaskara, Waleed M. Almutairi, Matthew Gopaulchan +5RadiomicsFourier Neural Operators

  29. BreastMammo and DenseMammo: Benchmarks for Mammography Domain Generalization

    Aug 10, 2026Hongyi Pan, Gorkem Durak, Halil Ertugrul Aktas +18MammographyMultimodal Domain Generalization

  30. Modern Backbones Improve Multi-task DETR for Mammography Classification and Lesion Localization

    Aug 10, 2026Dinh Tan Nguyen, Quang-Hien Kha, Le-Hoang Nguyen +8MammographyResnet-18

  31. PET/CT Radiogenomic Mutation Prediction in Non-Small Cell Lung Cancer Using Multi-Label Learning

    Aug 10, 2026Mona Furukawa, Sai Hyne, Daniel R. McGowan +1Non-Small Cell Lung CancerPositron Emission Tomography

  32. An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer

    Aug 10, 2026Mengxian Lyu, Cheng Peng, Tim Jang +18Colorectal CancerTreatment

  33. Distilling CT Foundation Models into Editable Concept Bottlenecks for Lung Nodule Malignancy Prediction

    Aug 8, 2026Fakrul Islam Tushar, Stephen Adamo, Geoffrey D. RubinLung-Nodule DetectorNon-Small Cell Lung Cancer

  34. Pre- to Post-Contrast Synthesis of Breast DCE-MRI using Latent Bridge Matching

    Aug 7, 2026Sina Amirrajab, Zohaib Salahuddin, Henry C Woodruff +1Magnetic Resonance ImagingIdentity-Conditioned Latent Diffusion Models

  35. Energy and Performance Benchmarking of Deep Learning Models for Breast Cancer Detection

    Aug 7, 2026Samar Garrab, Ghada AchourMammographyDeep Learning

  36. Longitudinal 3D Foundation Modeling for Neoadjuvant Breast Cancer Response Prediction from Serial DCE-MRI

    Aug 7, 2026Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang +3Non-Small Cell Lung Cancer3D Foundation Models

  37. Predictive Enhancement Calibration for Latent Breast MRI Virtual Contrast Enhancement

    Aug 4, 2026Qin Lei, Hao WuAdaptive Histogram EqualizationMagnetic Resonance Imaging

  38. The Cost of Binarizing Survival Outcomes in Clinical Prognostic Modeling

    Aug 4, 2026Shashank Yadav, David M. Routman, Andrew Y. K. FoongSurvival AnalysisPrognostics

  39. TumorBoard: Evidence-Grounded Multi-Agent Decision Support for Longitudinal Neuro-Oncology

    Aug 4, 2026Yantong Liu, Zheyu Zhang, Runpeng Liu +3Clinical Decision SupportCancer Genome Atlas

  40. Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer

    Aug 4, 2026Yesung Cho, Ji Hwan Park, Chanil Kim +27Non-Small Cell Lung CancerBiomarker

  41. Zero-Cost Virtual RNA: Approximating Immunotherapy Signatures via Cross-Modal WSI Retrieval

    Aug 1, 2026Sigrid Vila-Bagaria, Mar Teixidó, Miquel Piñol +3Spatial TranscriptomicsMessenger Rna

  42. Structured Proxy Features for Multimodal NSCLC Survival Prediction from Pretreatment CT

    Aug 1, 2026Huu Phong Nguyen, Delower Hossain, Ehsan Saghapour +2RadiomicsNon-Small Cell Lung Cancer

  43. Performance of large language models in the optical diagnosis of colorectal polyps

    Jul 31, 2026Joshua C. Vences, William T. Tran, Nikko Gimpaya +15Polyp SegmentationColorectal Cancer

  44. Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features

    Jul 30, 2026Katy L. Scott, Sejin Kim, Joshua Siraj +6RadiomicsBiomarker

  45. PRISM-Net: Patient-specific reference-guided inter-breast symmetry matching for three-class breast DCE-MRI classification

    Jul 29, 2026Boya Zhang, Shuaiwen Zhou, Di Kong +7MammographyMagnetic Resonance Imaging

  46. Empirical investigation of 3D CT Foundation Models and Unsupervised Adaptation for Head and Neck Cancer Recurrence Prediction

    Jul 29, 2026Bilel Guetarni, Feryal Windal, David Pasquier +1RadiomicsComputed Tomography Dataset

  47. HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT

    Jul 29, 2026Kai Wang, Meixu Chen, Elie Nasr +2Lesion SegmentationRadiomics

  48. Comparing the Performance of Foundation Model Derived Embeddings with Traditional Approaches for Distant Metastasis Prediction in Head and Neck Cancer

    Jul 28, 2026Erich Schmitz, Meixu Chen, Bowen Jing +1RadiomicsNon-Small Cell Lung Cancer

  49. Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis

    Jul 28, 2026Adarsh Bhandary Panambur, Siming Bayer, Andreas MaierMammographyTransfer Learning

  50. Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation

    Jul 27, 2026Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3Quantum Approximate Optimization AlgorithmMedical Image Segmentation

  51. Segmentation Robustness and Predictive Utility in Glioblastoma Radiomics: Evidence for a Trade-off in Survival Modelling

    Jul 26, 2026Mariya Miteva, Maria Nisheva-PavlovaRadiomicsGlioma

  52. Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking

    Jul 24, 2026Siyuan Zhao, Eric Ababio Anyimadu, Zachary G. Brumm +5Non-Small Cell Lung CancerPrognostics

  53. Gradient-Based Latent Decomposition Reveals Mechanisms of Feature Degradation in Weakly Supervised Mammography

    Jul 24, 2026Vinceline Bertrand, Ionut CardeiMammographyWeak Supervision

  54. A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer

    Jul 23, 2026Mohd Maaz Khan, Oluwaseyi OderindePositron Emission TomographyComputed Tomography Dataset

  55. A Multi-Cohort Validation of Censoring-Aware Conformal Lower Predictive Bounds for Pathology Survival Models

    Jul 23, 2026Mingi HongSurvival PredictionsNon-Small Cell Lung Cancer

  56. Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis

    Jul 22, 2026Moshiur Rahman Tonmoy, Dunren Che, Haitham Y. Adarbah +1MammographyConcept Bottleneck Models

  57. Foundation-model-guided radiogenomic discovery linking cancer genomes to cancer scans

    Jul 22, 2026Frederik Hauke, Jeremias Krause, Patrick Wienholt +6Cancer Genome AtlasRadiomics

  58. Trustworthy Privacy-Preserving Multimodal Federated Learning for Personalised Breast Cancer Prediction

    Jul 21, 2026Ruth Amey, Muhammad Arifur Rahman, Taha Osman +4Federated LearningNon-Small Cell Lung Cancer

  59. An unsupervised clustering analysis of breast cancer data derived from electronic health records enhanced through UMAP dimensionality reduction

    Jul 21, 2026Davide Chicco, Nicoletta BenvenutoMammographyNon-Small Cell Lung Cancer

  60. Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing

    Jul 21, 2026Mohammad Ali Dadrast, Hamid UsefiMammographyCross-Dataset Benchmark