Medical Image Classification

Latest papers 486

53 papers in the last four weeks, up 8% on the four weeks before. 0.3% of all new papers.

Deep neural networks with Fisher vector encoding for medical image classification
May 3, 2026Lucas O. Lyra, Antonio E. Fabris, Joao B. FlorindoHybrid CNN-Transformer Architectures Medical Image Classification
Institute of Mathematics and Statistics of the University of Sao Paulo, Rua do Matao, 1010, Sao Paulo, 05508-090, Sao Paulo, Brazil · Institute of Mathematics, Statistics and Scientific Computing of the University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, 13083-859, Sao Paulo, Brazil
Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection
May 2, 2026Ceausescu Ciprian-Mihai, Anghelina Ion-Marian, Alexe Dumitru-BogdanMulti-Task Learning Medical Image Classification
Faculty of Mathematics and Computer Science, University of Bucharest, Str. Academiei, 14, Bucharest, 010014, Romania · Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy, Romania, Calea 13 Septembrie, 13, Bucharest, 050711, Romania
Learning Coarse-to-Fine Osteoarthritis Representations under Noisy Hierarchical Labels
May 1, 2026Tongxu ZhangHierarchical Classification Hierarchical Representation Learning
The Hong Kong Polytechnic University
DMDSC: A Dynamic-Margin Deep Simplex Classifier for Open-Set Recognition on Medical Image Datasets
May 1, 2026Vishal, Arnav Aditya, Nitin Kumar +1Class-Imbalanced Learning Open-Set Recognition
Shiv Nadar Institution of Eminence, Delhi NCR, India
Prediction of Alzheimer's Disease Risk Factors from Retinal Images via Deep Learning: Development and Validation of Biologically Relevant Morphological Associations in the UK Biobank
May 1, 2026Seowung Leem, Yunchao Yang, Adam J. Woods +1Alzheimer's Disease Medical Image Analysis
1J. Crayton Pruitt Family Dept. of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA · University of Florida Research Computing, University of Florida, Gainesville, FL 32611, USA · Meta AI (FAIR) +4
JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification
Apr 30, 2026Phan Nguyen, Dat Cao, Hien Kha +4Skin Lesion Classification Medical Diagnosis
1KAIST · 2Taipei Medical University · 3Yale University
Federated Medical Image Classification under Class and Domain Imbalance exploiting Synthetic Sample Generation
Apr 29, 2026Martina Pavan, Matteo Caligiuri, Francesco Barbato +1Class-Imbalanced Learning Synthetic Data Augmentation
University of Padova, Padova (PD), Italy · NIDEK Technologies Srl, Albignasego (PD), Italy
People-Centred Medical Image Analysis via Fairness-Aware Human-AI Cooperation
Apr 28, 2026Zheng Zhang, Milad Masroor, Cuong Nguyen +6Healthcare Learning to Defer
CVSSP, PAI, University of Surrey, UK · Southampton Solent University, UK · AIML, Adelaide University, Australia +2
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 Analysis Medical Image Classification
University of California, Davis · Department of Biomedical Engineering · Department of Pathology and Laboratory Medicine +1
When To Adapt? Adapting the Model or Data in Federated Medical Imaging
Apr 27, 2026Chamani Shiranthika, Parvaneh SaeediDomain Adaptation Medical Image Classification
School of Engineering Science, Simon Fraser University, Burnaby, BC, V5A 1S6
Multi-View Synergistic Learning with Vision-Language Adaption for Low-Resource Biomedical Image Classification
Apr 27, 2026Xiaoliu Luo, Minxue Xiao, Ting Xie +5VLM Adaptation Multi-View Learning
Chongqing University of Technology · Hebei University of Technology · Nanyang Technological University +3
Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
Apr 26, 2026Maycon R. S. Pereira, Filipe R. CordeiroCost-Sensitive Learning Medical Image Classification
Visual Computing Lab, Departamento de Computac¸˜ao, Universidade Federal Rural de Pernambuco (UFRPE), Brasil
Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification
Apr 26, 2026Andreza M. C. Falcao, Filipe R. CordeiroMedical Image Classification Machine Unlearning
Visual Computing Lab, Departamento de Computacao, Universidade Federal Rural de Pernambuco (UFRPE), Brasil
H-SemiS: Hierarchical Fusion of Semi and Self-Supervised Learning for Knee Osteoarthritis Severity Grading
Apr 25, 2026Chandravardhan Singh Raghaw, Anushka Parwal, Shahid Shafi Dar +2Class-Imbalanced Learning Self-Supervised Learning
Department of Computer Science and Engineering, Indian Institute of Technology Indore, Indore 453552, India · Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli 620015, India
A Hierarchical Ensemble Inference Pipeline for Robust White Blood Cell Classification Under Domain Shifts
Apr 25, 2026Ruyi Dai, Tingkwong Ng, Hao ChenHierarchical Classification Ensemble Learning
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China · Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong, China · Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China +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 Architectures Medical Image Classification
Department of Biomedical Engineering Hamdard University Karachi, Pakistan. · Department of Biomedical Engineering Sir Syed University Karachi, Pakistan.
AnemiaVision: Non-Invasive Anemia Detection via Smartphone Imagery Using EfficientNet-B3 with TrivialAugmentWide, Mixup Augmentation, and Persistent Patient History Management
Apr 24, 2026Rahul PatelMedical Imaging Medical Image Classification
Department of Electronics and Communication Engineering Indian Institute of Information Technology, Surat India
On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification
Apr 24, 2026Yasmin Rodrigues Sobrinho, João Renato Ribeiro Manesco, João Paulo PapaHybrid Quantum-Classical ML Medical Image Classification
Department of Computing, São Paulo State University, Ave. Engenheiro Luiz Edmundo Carrijo Coube, 14-01 - Vargem Limpa, Bauru, 17033-360, São Paulo, Brazil
Useful nonrobust features are ubiquitous in biomedical images
Apr 24, 2026Coenraad Mouton, Randle Rabe, Niklas C. Koser +4Healthcare Neural Network Robustness
Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Kiel University · Faculty of Engineering, North-West University, South Africa
HFS-TriNet: A Three-Branch Collaborative Feature Learning Network for Prostate Cancer Classification from TRUS Videos
Apr 24, 2026Xu Lu, Qianhong Peng, Qihao Zhou +4Medical Image Classification Ultrasound Imaging
Guangdong Polytechnic Normal University, Guangzhou 510665, China · Guangdong Provincial Key Laboratory of Intellectual Property & Big Data, Guangzhou 510665, China · Department of Ultrasond, Shenzhen People’s Hospital, Shenzhen 518020, China +1
NeuroAPS-Net: Neuro-Anatomically Aware Point Cloud Representation for Efficient Alzheimer's Disease Classification
Apr 24, 2026Towhidul Islam, Mufti MahmudEfficient Neural Network Inference Point Cloud Classification
ICS Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia · SDAIA-KFUPM JRC for AI, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia · IRC for Bio Systems and Machines, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
an interpretable vision transformer framework for automated brain tumor classification
Apr 23, 2026Chinedu Emmanuel Mbonu, Tochukwu Sunday Belonwu, Okwuchukwu Ejike Chukwuogo +1Vision Transformer Medical Image Classification
Department of Computer Science, Nazarbayev University, Astana · Department of Computer Science, Nnamdi Azikiwe University, Nigeria
Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images
Apr 22, 2026Joakim Nguyen, Jian Yu, Jinrui Fang +7Pathology Foundation Models Medical 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
Opportunistic Bone-Loss Screening from Routine Knee Radiographs Using a Multi-Task Deep Learning Framework with Sensitivity-Constrained Threshold Optimization
Apr 22, 2026Zhaochen Li, Xinghao Yan, Runni Zhou +8Medical Imaging Medical Diagnosis
ORBIT Lab, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China. · Department of Radiology, Liaoning Provincial Key Laboratory of Medical Imaging, Liaoning Provincial Key Laboratory of Imaging Technology and Artificial Intelligence, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. · Rehabilitation Center, Liaoning Provincial Key Laboratory of Medical Imaging, Liaoning Provincial Key Laboratory of Imaging Technology and Artificial Intelligence, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China. +1
Attend what matters: Leveraging vision foundational models for breast cancer classification using mammograms
Apr 21, 2026Samyak Sanghvi, Piyush Miglani, Sarvesh Shashikumar +3Medical Imaging Vision Foundation Model Adaptation
Department of Computer Science and Engineering, IIT Delhi, New Delhi, India · Yardi School of AI, IIT Delhi, New Delhi, India · Department of Radiodiagnosis, PGIMER Chandigarh, Chandigarh, India
Concept Inconsistency in Dermoscopic Concept Bottleneck Models: A Rough-Set Analysis of the Derm7pt Dataset
Apr 21, 2026Gonzalo Nápoles, Isel Grau, Yamisleydi SalgueiroSkin Lesion Classification Concept Bottleneck Models
Department of Intelligent Systems, Tilburg University, 5037 AB Tilburg, The Netherlands · Information Systems Group, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands · Department of Industrial Engineering, Faculty of Engineering, Universidad de Talca, Campus Curic´o, Curic´o 3340000, Chile
Benchmarking PNW Model for MedMNIST to 100% Accuracy
Apr 20, 2026Bo DengMedical Image Classification Classification
Department of Mathematics University of Nebraska-Lincoln Lincoln, NE 68588
Rabies diagnosis in low-data settings: A comparative study on the impact of data augmentation and transfer learning
Apr 20, 2026Khalil Akremi, Mariem Handous, Zied Bouslama +4Data Augmentation Medical Diagnosis
University of Carthage, Engineering School of Statistics and Information Analysis, Tunis, Tunisia. · University of Tunis-El-Manar, Rabies Laboratory, Institut Pasteur de Tunis, Tunis, Tunisia. · World Health Organization, Country Oﬀice Tunisia. +1
T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classification
Apr 19, 2026Zixuan Tang, Shen ZhaoPrototype-Based Classification Retrieval-Augmented Classification
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China
Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging
Apr 19, 2026Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye YeMedical Image Classification Histopathology Image Classification
Department of Computer Science, Georgia State University, Atlanta, GA USA

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Deep neural networks with Fisher vector encoding for medical image classification

Lucas O. Lyra, Antonio E. Fabris, Joao B. Florindo

Institute of Mathematics and Statistics of the University of Sao Paulo, Rua do Matao, 1010, Sao Paulo, 05508-090, Sao Paulo, Brazil · Institute of Mathematics, Statistics and Scientific Computing of the University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, 13083-859, Sao Paulo, Brazil

Hybrid CNN-Transformer Architectures Medical Image Classification

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Orderless encoding methods have shown to improve Convolutional Neural Networks (CNNs) for image classification in the context of limited availability of data. Additionally, hybrid CNN + Vision Transformers (ViT) models have been recently proposed to address CNN locality bias issues. These models outperformed CNN-only approaches. Despite that, the integration of such hybrid models with more elaborated feature representation can be highly beneficial and remains large unexplored in the literature. In this context, we propose the introduction of an orderless encoding method, Fisher Vectors, to hybrid CNN + ViT architectures, aiming at achieving a model suitable for both small and large datasets. Such enconding method relies on estimating a Gaussian Mixture Model (GMM) on image features. In large datasets, computational costs of the GMM estimation is a limiting factor for the application of Fisher Vectors. Thus, we propose a method to limit the growth of GMM estimation costs as we increase the size of the dataset. We explore the feasibility of our method in the context of medical image classification by appling it to MedMNIST (v2), Clean-CC-CCII and ISIC2018. This collection of datasets contains a wide variety of data scales and modalities. We outperform benchmark results in all MedMNIST (v2) datasets and obtain literature-competitive results in Clean-CC-CCII and ISIC2018.