Tumor

Momentum

13 papers in the last four weeks, up 333% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 63

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  1. AI-assisted mitotic counting improves reproducibility and efficiency across multiple tumour types

    Oct 1, 2026Simon Graham, Mostafa Jahanifar, Quoc Dang Vu +15Mitotic FiguresTumor

  2. Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification

    Sep 30, 2026Bhanu Prakash Vangala, Sowmya Guda, Latha Peddi +1Brain Tumor ClassificationMedical Imaging Datasets

  3. An Uncertainty-Guided Digital Twin Framework for Online Adaptive Proton Therapy in Head and Neck Cancer: A Feasibility Study

    Sep 30, 2026Yizhou Wu, Ryan J. Sanford, Huiqiao Xie +12RadiotherapyDigital Twins

  4. An integrated geometric quantification and shape analysis framework for axillary lymph node metastasis in breast cancer patients

    Sep 28, 2026Zixi Yi, Limeng Qu, Gary P. T. ChoiTumorMorphometric Analysis

  5. Integrating Local Detail and Global Context: A Dual-Input Multi-Task Learning Framework for Bone Tumor Diagnosis

    Sep 23, 2026S. M. Nasif Uddin, Rusab Sarmun, Muhammad E. H. Chowdhury +3LesionTumor

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

    Sep 15, 2026Yusuf Ozturk, Bengisu Atli, Enes Goktekin +2GossipFederated Averaging

  7. Assessing nnU-Net Generalization across Brain Tumor Populations in BraTS-GoAT 2026

    Sep 14, 2026Tristan Kirscher, Vivian Metzger, Philippe Meyer +1Brain Tumor SegmentationBrain Tumor Classification

  8. 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 +3Cancer DetectionRoc-Auc

  9. 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 Artificial IntelligenceMedical Images

  10. TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation

    Sep 8, 2026Amir Hossein Saleknia, Alireza Kheyrkhah, Sanaz Karimijafarbigloo +5Tumor SegmentationTumor

  11. 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 +5Information ExtractionMedical Report Generation

  12. LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

    Aug 24, 2026Marie-Lisa Eich, Kai Standvoss, Timo Milbich +30Computational PathologyTumor

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

    Aug 11, 2026Max A. Nelson, Eminenur Sen Tasci, Zhixiang Wang +12RadiomicsTumor

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

    Aug 10, 2026Mona Furukawa, Sai Hyne, Daniel R. McGowan +1TumorPositron Emission Tomography

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

    Aug 7, 2026Sina Amirrajab, Zohaib Salahuddin, Henry C Woodruff +1Adaptive Histogram EqualizationMedical Image Generation

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

    Aug 7, 2026Fidel Omar Tito Cruz, Neda Ghafouri, Zengyan Wang +3Longitudinal ImagingTumor

  17. Bag-of-Visual-Words for Spatial Mapping of Lung Adenocarcinoma Growth Patterns

    Aug 5, 2026Darya Ardan, Valentin Oreiller, Henning MüllerTumorWhole-Slide Images

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

    Aug 1, 2026Huu Phong Nguyen, Delower Hossain, Ehsan Saghapour +2RadiomicsSurvival Predictions

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

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

  20. 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 +1RadiomicsTumor

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

    Jul 24, 2026Siyuan Zhao, Eric Ababio Anyimadu, Zachary G. Brumm +5Multidisciplinary Tumor BoardsTumor

  22. 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 TomographyCone-Beam Computed Tomography

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

    Jul 21, 2026Davide Chicco, Nicoletta BenvenutoElectronic Health RecordsTumor

  24. GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis

    Jul 20, 2026Naoto Usuyama, Jeya Maria Jose Valanarasu, Sicong Yao +27Pathology Foundation ModelsWhole-Slide Images

  25. Enhancing Personalized Bladder Cancer Treatment Through Reinforcement Learning: A Recurrent Patient State Transition Decision Support Framework

    Jul 18, 2026Divyansh Chawla, Anshu Garg, Isshaan SinghRecurrent StatePatient Trajectories

  26. AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling

    Jul 15, 2026Wenxi Liu, Michael Trimboli, Xianqi LiBrain Tumor ClassificationRadiotherapy

  27. CT-CLIP Representations for Multimodal Lung Cancer Survival Prediction

    Jul 9, 2026Sofie Allgöwer, Mikael Johansson, Andreas Hallqvist +4Survival PredictionsTumor

  28. CaresAI at SMM4H-HeaRD 2026: Predicting TNM Staging

    Jul 3, 2026Joseph Itopa Abubakar, Jorge Jarme, Favour Igwezeke +1TumorTerm Frequency-Inverse Document Frequency

  29. Multimodal Fusion for Fine-Grained Classification of Breast Fibroadenoma and Phyllodes Tumors

    Jul 2, 2026Chuxi Nan, Di Wu, Hongming Guo +4MammographyClinical Ultrasound Dataset

  30. Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling

    Jun 27, 2026Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen +1TumorTissue

  31. Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC

    Jun 25, 2026Krzysztof Pysz, Artur Bartczak, Jarosław Kwiecień +2Multiple Instance LearningTumor

  32. scBench-Long: Verifiable Benchmarking of Long-Horizon Single-Cell Biology

    Jun 25, 2026Ian Diks, Zhen Yang, Arjun Banerjee +2Single-Cell RnaTumor

  33. HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

    Jun 18, 2026Numan Saeed, Salma Hassan, Shahad Hardan +27Tumor SegmentationTumor

  34. CoMNet: A MedNeXt-CorrDiff Framework for Multi-Site Brain Tumor Segmentation

    Jun 13, 2026Michael L. Evans, MD Fayaz Bin Hossen, MD Shibly Sadique +2Brain Tumor SegmentationMagnetic Resonance Imaging

  35. Towards Global AI-Driven Cervical Cancer Screening

    Jun 12, 2026Thuy Nuong Tran, Ömer Sümer, Evangelia Christodoulou +15Cancer DetectionTumor

  36. Unified MRI Brain Image Translation via Hierarchical Tumor Structure Comparison

    Jun 11, 2026Yupeng Cai, Jia Wei, Jianlong ZhouBrain Tumor SegmentationConditional Gans

  37. Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Cancer

    Jun 10, 2026Ashish Chauhan, Sambit Tarai, Elin Lundström +3Survival PredictionsSurvival Analysis

  38. An Uncertainty Estimation Framework for Dose Accumulation in Adaptive Radiotherapy: Application to CBCT-Guided Radiotherapy for Cervical Cancer

    Jun 9, 2026Cedric Hemon, Delphine Lebret, Jean-Claude Nunes +8RadiotherapyDose

  39. Multi-Modal Machine Learning for Breast Cancer Recurrence Prediction

    Jun 1, 2026Jiahao Shao, Xudong Wang, Anam Nawaz Khan +3Multidisciplinary Tumor BoardsTumor

  40. A Novel Global Context-aware Deep Neural Network for Enhanced Brain Tumor Segmentation using Magnetic Resonance Images

    May 28, 2026Sourjya Mukherjee, Ananya Bhattacharjee, R. MuruganBrain Tumor SegmentationMagnetic Resonance Imaging

  41. An Approach for Thyroid Nodule Analysis Using Thermographic Images

    May 28, 2026J. R. González, É. O. Rodrigues, C. P. Damião +6Thermal ImagingTumor

  42. Verifiable Benchmarking of Long-Horizon Spatial Biology

    May 27, 2026Ian Diks, Harihara Muralidharan, Tim Proctor +1Artificial Intelligence AgentsTumor

  43. A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation

    May 25, 2026Zhengrui Guo, Zhengyu Zhang, Jiabo Ma +23Pathology Foundation ModelsLung-Nodule Artificial Intelligence

  44. D3Seg: Dependency-Aware Diffusion for Brain Tumor Segmentation with Missing Modalities

    May 21, 2026Danish Ali, Ajmal Mian, Naveed Akhtar +1Brain Tumor SegmentationMagnetic Resonance Imaging

  45. Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images

    May 15, 2026Liangrui Pan, Jiadi Luo, Yuxuan Xiao +13Tumor

  46. Uncertainty-Aware Prediction of Lung Tumor Growth from Sparse Longitudinal CT Data via Bayesian Physics-Informed Neural Networks

    May 13, 2026Lingfei Kong, Haoran MaPrognosticsTumor

  47. Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy

    May 13, 2026Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar +8ColonoscopyLongitudinal Imaging

  48. Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network

    May 11, 2026Md Fahimul Kabir Chowdhury, Jannatul FerdousBrain Tumor ClassificationConvolutional Neural Networks

  49. DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation

    May 11, 2026Yiqi Tian, Sangjoon Park, Bo Zeng +3Semi-Supervised Medical Image SegmentationAlgorithmic Fairness

  50. Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast Cancer

    May 8, 2026Alice Natalina Caragliano, Valerio Guarrasi, Michela Gravina +2TumorPrognostics

  51. A Breast Vision Pathology Foundation Model for Real-world Clinical Utility

    May 6, 2026Yingxue Xu, Zhengyu Zhang, Xiuming Zhang +32Pathology Foundation ModelsTumor

  52. Enhanced 3D Brain Tumor Segmentation Using Assorted Precision Training

    May 5, 2026Adwaitt Pandya, Ozioma C. Oguine, Harita Bhargava +1Brain Tumor SegmentationTumor

  53. Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET

    May 4, 2026Fatih Aksu, Laura Ciuffetti, Francesco Di Feola +6Positron Emission TomographyTumor

  54. Exploring Prompt Alignment with Clinical Factors in Zero-Shot Segmentation VLMs for NSCLC Tumor Segmentation

    May 2, 2026Suraj Pai, Thibault Heintz, Cosmin Ciausu +3TumorRecent Vision-Language Models

  55. Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

    Apr 23, 2026Laura Valeria Perez-Herrera, M. J. Garcia-Gonzalez, Karen Lopez-LinaresMultiple Instance LearningTumor

  56. A Digital Pathology Resource for Liver Cancer Quantification with Datasets, Benchmarks, and Tools

    Apr 22, 2026Ying Xiao, Shimiao Tang, Xitong Ling +11CholangiocarcinomaTumor