Latest Research in Computer Vision and Pattern Recognition
123 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 34 papers
- AI in cancer detection — 22 papers
- Image and Video Processing — 12 papers
- Lung Cancer Diagnosis and Treatment — 8 papers
- Colorectal Cancer Screening and Detection — 4 papers
- Digital Imaging for Blood Diseases — 4 papers
- Machine Learning — 4 papers
- Iron Metabolism and Disorders — 3 papers
- Radiomics and Machine Learning in Medical Imaging — 3 papers
- Advanced X-ray and CT Imaging — 2 papers
Highest-Cited Papers
- HemaViT: transformer-based deep learning for automated non-invasive anemia detection using conjunctival imaging
- Quantitative accuracy and clinical utility of ultra-low dose CT protocols for attenuation correction in PET/CT
- A dual stream architecture integrating pathology foundation models for automated tumor region segmentation in Ki-67 assessment
- A novel integrated circular radiography (ICRAD) phantom for evaluating non‐uniform image quality metrics in radiography
- Role of foundation models in data-driven tissue diagnostics
- Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
- Deep Learning Assisted‐Axial Resolution Improvement for Probe‐Based Confocal Laser Endomicroscopy
- Toward Clinically Trustworthy Pathology Foundation Models for Microsatellite Instability Prescreening in Colorectal Cancer
- SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
- An ultrasound-based end-to-end multi-task deep learning model to segment and classify parotid gland tumors: A retrospective multi-center study
- Cross-Dataset Evaluation of the Lightweight YOLO Family for Breast Ultrasound Lesion Segmentation: Effects of Preprocessing, Hyperparameter Optimization, and Test-Time Augmentation
- Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening
- An Iterative, Pathologist-in-the-Loop Workflow for Generation of Clinical-Grade Synthetic Pathology Images in a Diverse Cohort of Pancreatic Tumors
- Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening
- Persistent Cross-Institutional Domain Shift in Narrow-Band Imaging Classification of Colorectal Lesions and the Utility of Site-Specific Fine-Tuning
- Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology
- CRC-HGD: A Histopathological Image Dataset for Grading Colorectal Cancer
- StainBridge: Stain-Aware Pairwise Registration of Serial Renal Biopsy Whole-Slide Images Across Structural and Immunohistochemical Stains
- A novel PCD Micro-CT approach for microstructural analysis of rabbit vertebral bone
- FAR-POLYP-SEG: A Prospective Single-Center Colonoscopy Dataset for Colorectal Polyp Segmentation with Patient-Level Metadata and Baseline Cross-Dataset Evaluation