Brain Tumor Classification

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Overview

Brain tumor classification assigns tumor type, grade, or molecular subtype from MRI, histopathology, molecular assays, and sometimes clinical or longitudinal data to support diagnosis and treatment planning. Approaches range from CNNs and vision transformers on MRI to radiomics, shape and topology features, whole-slide learning, and multimodal fusion; self-supervised and transfer learning help address limited labels. Work spans public image benchmarks such as BraTS and BRISC as well as biopsy-linked and multi-center cohorts, with systems also tackling recurrence versus treatment effects and adding uncertainty estimates or visual explanations. A central challenge is whether benchmark performance generalizes across hospitals and missing modalities: data leakage, acquisition shifts, class imbalance, and uncertain gains from synthetic data make patient-disjoint and external validation essential.

Latest papers

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51 papers6 papers in the last four weeks, up 50% on the four weeks before. 0.0% of all new papers.

  1. A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

    Apr 28, 2026Silvia Noble Anbunesan, Mohamed Abul Hassan, Jinyi Qi +4Medical Image AnalysisMedical Image Classification

    University of California, Davis · Department of Biomedical Engineering · Department of Pathology and Laboratory Medicine +1

  2. CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model

    Apr 25, 2026Syed Ibad Hasnain, Muhammad Faris, Hafiza Syeda Yusra Tirmizi +2Hybrid CNN-Transformer ArchitecturesMedical Image Classification

    Department of Biomedical Engineering Hamdard University Karachi, Pakistan. · Department of Biomedical Engineering Sir Syed University Karachi, Pakistan.

  3. an interpretable vision transformer framework for automated brain tumor classification

    Apr 23, 2026Chinedu Emmanuel Mbonu, Tochukwu Sunday Belonwu, Okwuchukwu Ejike Chukwuogo +1Vision TransformerMedical Image Classification

    Department of Computer Science, Nazarbayev University, Astana · Department of Computer Science, Nnamdi Azikiwe University, Nigeria

  4. Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images

    Apr 22, 2026Joakim Nguyen, Jian Yu, Jinrui Fang +7Pathology Foundation ModelsMedical Image Classification

    Dept. of Computer Science University of Texas at Austin Austin, TX, USA · School of Information University of Texas at Austin Austin, TX, USA · Dept. of Computer Science UNC at Chapel Hill Chapel Hill, NC, USA +3

  5. Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification

    Apr 19, 2026Chinthakuntla Meghan Sai, Murarisetty V Sai Kartheek, Sita Devi Bharatula +1Prototype-Based ClassificationBrain Tumor Classification

    Department of ECE, Amrita Vishwa Vidyapeetham, Vengal, Chennai, 601103, Tamil Nadu, India. · Hydronium Energies Limited, Bristol, London, England.

  6. OkanNet: A Lightweight Deep Learning Architecture for Classification of Brain Tumor from MRI Images

    Apr 1, 2026Okan Uçar, Murat KurtBrain Tumor ClassificationMedical Image Classification

    Graduate School of Natural and Applied Sciences Department of Computer Engineering Ege University Izmir, Turkey · International Computer Institute Ege University Izmir, Turkey

  7. Optimized Weighted Voting System for Brain Tumor Classification Using MRI Images

    Mar 30, 2026Ha Anh VuBrain Tumor ClassificationEnsemble Learning

    Artificial Intelligence Department, FPT University, Ho Chi Minh City, Vietnam

  8. Physics-Embedded Feature Learning for AI in Medical Imaging

    Mar 30, 2026Pulock Das, Al Amin, Kamrul Hasan +3Physics-Informed MLExplainable Medical Image Analysis

    Tennessee State University, Nashville, TN, USA · Huston–Tillotson University, Austin, TX, USA

  9. PhyDCM: A Reproducible Open-Source Framework for AI-Assisted Brain Tumor Classification from Multi-Sequence MRI

    Mar 25, 2026Hayder Saad Abdulbaqi, Mohammed Hadi Rahim, Mohammed Hassan Hadi +2Brain Tumor ClassificationMedical Image Classification

    Department of medical physics, College of Science, University of Al-Qadisiyah, Address : Diwaniyah, Iraq

  10. Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment

    Mar 23, 2026Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella +6Brain Tumor ClassificationMulti-Agent Systems

    Department of Radiology, Duke University Medical Center, Durham, NC · Department of Electrical and Computer Engineering, Duke University, Durham, NC · Duke Center for Artificial Intelligence in Radiology, Duke University Medical Center, Durham, NC +5

  11. Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset

    Mar 22, 2026Faisal AhmedMedical Image ClassificationBrain Tumor Classification

    Department of Data Science and Mathematics, Embry-Riddle Aeronautical University, 3700 Willow Creek Rd, Prescott, Arizona 86301, USA

  12. Brain Tumor Classification from 3D MRI Using Persistent Homology and Betti Features: A Topological Data Analysis Approach on BraTS2020

    Mar 14, 2026Faisal AhmedBrain Tumor ClassificationBrain MRI

    Department of Data Science and Mathematics, Embry-Riddle Aeronautical University, 3700 Willow Creek Rd, Prescott, 86301, Arizona, USA.

  13. Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification

    Mar 13, 2026Hiba Adil Al-kharsan, Róbert RajkóAdversarial PurificationMedical Image Classification

    Doctoral School of Computer Science, University of Szeged, Árpád tér 2, H-6720 Szeged, Hungary · University Research and Innovation Center (EKIK), Óbuda University, Bécsi út 96/b, H-1034 Budapest, Hungary · Academic Staff, Doctoral School of Computer Science, University of Szeged, Árpád tér 2, H-6720 Szeged, Hungary

  14. Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning

    Mar 12, 2026Robin Peretzke, Marlin Hanstein, Maximilian Fischer +15Multimodal ClassificationClassification

    Deutsches Krebsforschungszentrum (DKFZ), Division of Medical Image Computing, Heidelberg, Germany · Medical Faculty, Heidelberg University, Heidelberg, Germany · Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany +8

  15. Comparative Evaluation of Traditional Methods and Deep Learning for Brain Glioma Imaging. Review Paper

    Mar 5, 2026Kiranmayee Janardhan, Vinay Martin DSa Prabhu, T. Christy BobbyBrain Tumor SegmentationBrain Tumor Classification

    Department of Electronics and Communications, Ramaiah University of Applied Sciences 4th Phase, Peenya, Bengaluru, Karnataka, India · Department of Radiology, Ramaiah Memorial Hospital and Medical College MSR Nagar, MSRIT Post, Bengaluru, Karnataka, India

  16. CoRe-BT: A Multimodal Radiology-Pathology-Text Benchmark for Robust Brain Tumor Typing

    Mar 4, 2026Juampablo E. Heras Rivera, Daniel K. Low, Xavier Xiong +5Brain Tumor ClassificationMedical Image Benchmarks

    University of Washington, Seattle, Washington 98105, USA · University of Washington School of Medicine, Seattle, Washington 98105, USA · Microsoft Health AI, Redmond, Washington 98052-6399, USA

  17. PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification

    Mar 2, 2026Jian Yu, Joakim Nguyen, Jinrui Fang +10Brain Tumor ClassificationMultimodal Classification

    University of Texas, Austin, TX, USA · Dell Children’s Medical Center, Austin, TX, USA · University of North Carolina at Chapel Hill, NC, USA +1

  18. MM-NeuroOnco: A Multimodal Benchmark and Instruction Dataset for MRI-Based Brain Tumor Diagnosis

    Feb 26, 2026Feng Guo, Jiaxiang Liu, Yang Li +2Medical Image BenchmarksBrain MRI

    Guangdong Institute of Intelligence Science and Technology, Hengqin, China · Center for Brain-Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing, China

  19. Virtual Biopsy for Intracranial Tumors Diagnosis on MRI

    Feb 25, 2026Xinzhe Luo, Shuai Shao, Yan Wang +3Brain Tumor ClassificationBrain MRI

    School of Artificial Intelligence and Data Science, University of Science and Technology of China

  20. XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence

    Feb 24, 2026Sepehr Salem Ghahfarokhi, M. Moein Esfahani, Raj Sunderraman +2Brain Tumor ClassificationExplainable Medical Image Analysis

    Department of Computer Science, Georgia State University, Atlanta, GA, USA · TReNDS Center, Georgia State University, Atlanta, GA, USA

  21. VariViT: A Vision Transformer for Variable Image Sizes

    Feb 16, 2026Aswathi Varma, Suprosanna Shit, Chinmay Prabhakar +5Vision TransformerMedical Image Representation Learning

    Department of Neuroradiology, Technical University of Munich · Institute for Artificial Intelligence and Informatics in Medicine, Technical University of Munich · Department of Quantitative Biomedicine, University of Zurich +1