Medical Image Classification

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Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection
Jun 26, 2026Akshay Bhagwan Sonawane, Sophie Choe, Lakshman TamilMedical Image Analysis Hybrid Quantum-Classical ML
Dept. of Electrical and Computer Engineering University of Texas at Dallas Richardson, TX 75080
MedDiffuseMix: Preserving Diagnostic Evidence with Saliency-Aware Diffusion Medical Image Data Augmentation
Jun 25, 2026Teerath Kumar, Raja Vavekanand, Muhammad TurabSynthetic Data Augmentation Data Augmentation
School of Computing, Atlantic Technological University, Letterkenny, Ireland. · Department of Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, 75660, Pakistan. · School of Computing, Dublin City University, Dublin, Ireland.
Intracranial Aneurysm Classification and Segmentation via Tri-Axial ROI and Multi-Task Learning
Jun 25, 2026Pengcheng Shi, Kaiyuan Yang, Houjing Huang +6Cross-Modality Medical Image Segmentation Multi-Task Learning
Medical Image Insights Co. Ltd., Shanghai, China · University of Zurich, Zurich, Switzerland
Disease-Centric Vision-Language Pretraining with Hybrid Visual Encoding for 3D Computed Tomography
Jun 24, 2026Bowen Shi, Weiwei Cao, Ruifeng Yuan +5Contrastive Learning 3D Medical Imaging
DAMO Academy, Alibaba Group · Hupan Lab, 310023, Hangzhou, China · Shanghai Jiao Tong University, China +2
A Leakage-Aware Comparative Benchmark of Machine Learning, Deep Learning, and Transformer Models for Reliable Leukemia Detection
Jun 23, 2026Nisreen AlbzourData Leakage Medical Image Classification
School of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY, USA
Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies
Jun 22, 2026Zhenyu Yi, Zhiyun Song, Yusong Sun +6VLM Adaptation 3D Medical Imaging
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China · Department of Computing, Imperial College London, London, UK
IViT: A Novel Interpretable Visual Transformer for Skin Disease Detection
Jun 22, 2026Haibiao Li, Di Lin, Xue Jiang +3Skin Lesion Classification Vision Transformer
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China · Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, 400021, P. R. China · Chongqing Health Center for Women and Children, Chongqing, 400013, P. R. China
Biological Sex Determination in Cadavers Using Deep Learning Algorithms from Computed Tomography Images of Pelvis and Skull
Jun 21, 2026Giovanna Herculano Tormena, Davi Nascimento Araújo, Germano Coimbra Soares de Carvalho +10Medical Image Classification
São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil · 212Aristoclides Teixeira Institute of Forensic (IMLAT), Goiânia 74.425-030, Brazil · 1São Carlos School of Engineering, University of São Paulo, São Carlos 13566-590, Brazil
Multi-cancer detection using a computationally efficient CNN with transfer learning
Jun 21, 2026Vasileios E. Papageorgiou, Georgios Petmezas, Dimitrios-Panagiotis Papageorgiou +2Efficient Neural Network Inference Medical Image Classification
School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece · Department of Mathematics, National and Kapodistrian University of Athens, Athens, Greece · Department of Mathematics, Aristotle University of Thessaloniki, Thessaloniki, Greece +1
One-Shot Data Selection for Medical Image Classification via Graph Coverage
Jun 20, 2026Zahiriddin Rustamov, Nadia Badawi, Rafat Damseh +1Training Data Selection Medical Image Classification
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates
MammoExpert: Benchmarking Chain-of-Thought Reasoning in Mammography Diagnosis
Jun 19, 2026Di Dai, Bo Liu, Youcheng Li +9Medical Imaging CoT Reasoning
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University Beijing, China · School of Computer Science and Engineer, Beijing University of Aeronautics and Astronautics Beijing, China · Center for Data Science, Peking University Beijing, China +5
Translating Inference-Time Control to Radiology Vision-Language Models: Activation Steering for Pneumonia Classification on Chest X-rays
Jun 18, 2026Eduardo Moreno Judice de Mattos Farina, Mateus A. Esmeraldo, Felipe Akio Matsuoka +2Chest X-Ray Classification Radiology VLMs
Universidade Federal de São Paulo (UNIFESP) Hospital Israelita Albert Einstein São Paulo, Brazil · Department of Radiology Stanford University School of Medicine Stanford, CA, USA · Universidade Federal de São Paulo (UNIFESP) DASA São Paulo, Brazil +2
Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification
Jun 18, 2026Muhammad Azeem, Tanveer Hussain, Amr Ahmed +1Skin Lesion Classification Graph Representation Learning
Edge Hill University, Ormskirk, Lancashire, L39 4QP, United Kingdom
Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET
Jun 18, 2026Loukas Ilias, Anthi-Maria Vozinaki, Christos Ntanos +1Medical Diagnosis 3D Medical Imaging
DSS Lab, School of ECE, NTUA, 15780 Athens, Greece
QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
Jun 18, 2026Luca Zedda, Davide Antonio Mura, Cecilia Di Ruberto +4Medical Image Classification Multiple Instance Learning
Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy · Institute of AI for Health, Helmholtz Munich, Neuherberg, Germany
OTCHA: Optimal Transport-driven Confidence-aware Latent Hub Alignment for Multi-View Medical Image Classification
Jun 18, 2026Jiwoong Yang, Haejun Chung, Ikbeom JangMulti-View Consistency Multi-View Learning
Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea
A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI
Jun 17, 2026Syed Mujtaba Haider, Silvia FiginiSynthetic Data Augmentation Quantum Generative Modeling
Department of Political and Social Sciences, University of Pavia, Pavia, Italy
Multi-Class Brain Tumor Classification Using Advanced Deep Learning Models: A Comparative Study
Jun 17, 2026Asad Channa, Asghar Ali Chandio, Akhtar Hussain Jalbani +2Medical Image Classification Multiclass Classification
Department of Computer Science, Quaid-e-Awam University of Engineering, Sciences & Technology, Paksitan · Department of Artificial Intelligence, Quaid-e-Awam University of Engineering, Sciences & Technology, Pakistan · The Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka +2
When LLMs Analyze Scars: From Images to Clinically-Meaningful Features
Jun 16, 2026Ruman Wang, Hangting YeMedical Diagnosis Medical Image Classification
Liaoning University of Traditional Chinese Medicine · School of Artificial Intelligence, Jilin University
A Multi-Center Benchmark for Abdominal Disease Diagnosis and Report Generation from Non-Contrast CT
Jun 15, 2026Mariam Elbakry, Aliaa Sayed Sheha, Salma Hassan Tantawy +5Radiology Report Generation Medical Image Classification
Ain Shams University, Cairo, Egypt · University of Catania, Catania, Italy · Universitat de Barcelona, Barcelona, Spain +1
LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models
Jun 15, 2026Gyuyeon NaSkin Lesion Classification LLM-as-a-Judge
AI and Business Analytics, Ewha Womans University, Seoul, Republic of Korea
3D Classification of Paramagnetic Rim Lesions in Multiple Sclerosis via Asymmetric QSM-FLAIR Modeling
Jun 15, 2026Veronica Pignedoli, Giacomo Boffa, Nicoletta Noceti +3Medical Image Classification Brain MRI
MaLGa, DIBRIS, University of Genova, Genova, Italy · DINOGMI, University of Genova, Genova, Italy · IRCCS Azienda Ospedaliera Metropolitana, Genova, Italy
Structure-aware Knowledge-guided Heterogeneous Mamba for Zygomaticomaxillary Suture Assessment
Jun 15, 2026Xiaoqi Guo, Birui Chen, Xinquan Yang +8Medical Imaging Medical Image Classification
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China · School of Artificial Intelligence, Shenzhen University, Shenzhen, China · Affiliated Stomatology Hospital of Kunming Medical University, Kunming, China +1
Input-Dependent Fisher Information for Local Sensitivity Analysis of Medical Image Classifiers
Jun 15, 2026Sourya Sengupta. Mark A. AnastasioNeural Network Interpretability Medical Image Classification
Department of Electrical and Computer Engineering, University of Illinois Urbana–Champaign, Urbana, IL 61801 USA
Trusting Right Predictions for Wrong Reasons: A LIME Based Analysis of Deep Learning Interpretability in Lung Cancer Diagnosis
Jun 14, 2026Samarpan Poudel, Vladislav D VekslerExplainable Artificial Intelligence Explanation Stability
Caldwell University School of Business and Computer Science Caldwell, NJ 07006
NeRD: Neuro-Symbolic Rule Distillation for Efficient Ontology-Grounded Chain-of-Thought in Medical Image Diagnosis
Jun 14, 2026Hongxi Yang, Yiwen Jiang, Siyuan Yan +8Medical Image Classification Multimodal CoT Reasoning
Department of Data Science & AI, Faculty of Information Technology, Monash University, Melbourne, Australia · AIM for Health Lab, Faculty of Information Technology, Monash University, Melbourne, Australia · Faculty of Engineering, Monash University, Melbourne, Australia +2
Trusted Multi-View Deep Learning Classification of Fetal Congenital Heart Disease with Feature-level and Decision-level Fusion
Jun 13, 2026Tan Zhou, Shifa Yao, Suncheng Xiang +2Multi-View Learning Medical Image Classification
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China · Department of Ultrasonography, the International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China · Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China +1
Towards Global AI-Driven Cervical Cancer Screening
Jun 12, 2026Thuy Nuong Tran, Ömer Sümer, Evangelia Christodoulou +15Medical Diagnosis Medical Image Classification
Intelligent Medical Systems E130, German Cancer Research Center (DKFZ), Heidelberg, Germany · Department of Applied Tumor Biology, Universitätsklinikum Heidelberg, Heidelberg, Germany · Cooperation Unit F210, German Cancer Research Center (DKFZ), Heidelberg, Germany +9
Polyp-D2ATL: Deep Domain-Adaptive Transfer Learning for Colorectal Polyp Classification under Label Distribution Shift
Jun 12, 2026Sajad Jabarzadeh Ghandilu, Maryam Sadat Hosseini Azad, Shahriar Baradaran Shokouhi +1Class-Imbalanced Learning Label Shift
School of Electrical Engineering, Sharif University of Technology, Tehran, Iran · School of Electrical Engineering, Iran University of Science and Technology,2026 Tehran, Iran
Hybrid Classical-Quantum (HCQ) Alzheimer's Classification via Supervised $β$ -VAE and Quantum Kernels
Jun 12, 2026Tia Tiwari, Vamshi Krishna Kancharla, Neelam SinhaVariational Autoencoders Hybrid Quantum-Classical ML
Centre for Brain Research, Indian Institute of Science · Vision and AI Lab (VAL), Indian Institute of Science

Jun 26, 2026J/K move · Enter open · S save

Parameter-Efficient Continuous-Variable Photonic Quantum Neural Networks for Edge Quantum AI: Demonstration in Oral Cancer Detection

Akshay Bhagwan Sonawane, Sophie Choe, Lakshman Tamil

Dept. of Electrical and Computer Engineering University of Texas at Dallas Richardson, TX 75080

Medical Image Analysis Hybrid Quantum-Classical ML Medical Image Classification Photonic Computing Quantum Neural Networks

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Early detection of oral cancer markedly improves clinical outcomes, yet specialized diagnostic tools remain scarce in low-resource settings. Smartphone-based screening is a scalable alternative but needs lightweight models that run within edge-hardware constraints. Hybrid classical-quantum architectures are emerging candidates for parameter-efficient learning, yet most rely on qubit hardware that needs cryogenic operation, unsuitable for edge deployment. Continuous-variable (CV) photonic quantum computing, which operates at room temperature, offers a complementary route. We investigate a hybrid classical-CV quantum classifier for oral cancer detection from smartphone images. The pipeline combines a MobileNetV1 feature extractor, principal component analysis to 16 dimensions, and a parameterized CV-QNN of displacement, interferometric, and Kerr gates on a photonic backend. We propose a simplified

Φ\circ D \circ U_1

CV-QNN architecture that cuts trainable parameters 40-45% relative to the standard CV-QNN layer of Killoran et al. (2019a), and identify dimensionality-reduction and encoding-restriction strategies that mitigate barren plateaus, raising loss-gradient variance by roughly 58 orders of magnitude. Whether the simplified layer beats the full layer is width-dependent: the full layer holds a small but significant edge at two qumodes, whereas the simplified layer is significantly better at four qumodes using 44% fewer parameters. The strongest model, a four-qumode simplified CV-QNN with only 18 parameters, attains the highest validation AUC of all models, exceeds a 55-parameter classical baseline using 67% fewer parameters, and reaches 100% calibrated test accuracy across all seeds. These results support CV photonic quantum machine learning for parameter-efficient, room-temperature medical image classification and motivate progress toward edge quantum AI.