Latest Research in Computer Vision and Pattern Recognition

123 research papers · 2026 median publication year

Top Research Topics in Computer Vision and Pattern Recognition

Highest-Cited Papers

  1. HemaViT: transformer-based deep learning for automated non-invasive anemia detection using conjunctival imaging
  2. Quantitative accuracy and clinical utility of ultra-low dose CT protocols for attenuation correction in PET/CT
  3. A dual stream architecture integrating pathology foundation models for automated tumor region segmentation in Ki-67 assessment
  4. A novel integrated circular radiography (ICRAD) phantom for evaluating non‐uniform image quality metrics in radiography
  5. Role of foundation models in data-driven tissue diagnostics
  6. Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets
  7. Deep Learning Assisted‐Axial Resolution Improvement for Probe‐Based Confocal Laser Endomicroscopy
  8. Toward Clinically Trustworthy Pathology Foundation Models for Microsatellite Instability Prescreening in Colorectal Cancer
  9. SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology
  10. An ultrasound-based end-to-end multi-task deep learning model to segment and classify parotid gland tumors: A retrospective multi-center study
  11. Cross-Dataset Evaluation of the Lightweight YOLO Family for Breast Ultrasound Lesion Segmentation: Effects of Preprocessing, Hyperparameter Optimization, and Test-Time Augmentation
  12. Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening
  13. An Iterative, Pathologist-in-the-Loop Workflow for Generation of Clinical-Grade Synthetic Pathology Images in a Diverse Cohort of Pancreatic Tumors
  14. Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening
  15. Persistent Cross-Institutional Domain Shift in Narrow-Band Imaging Classification of Colorectal Lesions and the Utility of Site-Specific Fine-Tuning
  16. Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology
  17. CRC-HGD: A Histopathological Image Dataset for Grading Colorectal Cancer
  18. StainBridge: Stain-Aware Pairwise Registration of Serial Renal Biopsy Whole-Slide Images Across Structural and Immunohistochemical Stains
  19. A novel PCD Micro-CT approach for microstructural analysis of rabbit vertebral bone
  20. FAR-POLYP-SEG: A Prospective Single-Center Colonoscopy Dataset for Colorectal Polyp Segmentation with Patient-Level Metadata and Baseline Cross-Dataset Evaluation
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
L3 Region - - 2026 Sep Q3

Computer Vision and Pattern Recognition

123 papers

Top Topics (10)

Computer Vision and Pattern Recognition34
AI in cancer detection22
Image and Video Processing12
Lung Cancer Diagnosis and Treatment8
Colorectal Cancer Screening and Detection4
Digital Imaging for Blood Diseases4
Machine Learning4
Iron Metabolism and Disorders3
Radiomics and Machine Learning in Medical Imaging3
Advanced X-ray and CT Imaging2

Top Publications (20)

1.HemaViT: transformer-based deep learning for automated non-invasive anemia detection using conjunctival imaging2.Quantitative accuracy and clinical utility of ultra-low dose CT protocols for attenuation correction in PET/CT3.A dual stream architecture integrating pathology foundation models for automated tumor region segmentation in Ki-67 assessment4.A novel integrated circular radiography (ICRAD) phantom for evaluating non‐uniform image quality metrics in radiography5.Role of foundation models in data-driven tissue diagnostics6.Genetic algorithm vs. gradient descent for training a neural network architecture dedicated to low data regimes in small medical datasets7.Deep Learning Assisted‐Axial Resolution Improvement for Probe‐Based Confocal Laser Endomicroscopy8.Toward Clinically Trustworthy Pathology Foundation Models for Microsatellite Instability Prescreening in Colorectal Cancer9.SegTME-UNI2: A Foundation Model-Based Framework for Generalisable Multiclass Cell Segmentation and LLM-Driven Tumour Microenvironment Characterisation in Histopathology10.An ultrasound-based end-to-end multi-task deep learning model to segment and classify parotid gland tumors: A retrospective multi-center study11.Cross-Dataset Evaluation of the Lightweight YOLO Family for Breast Ultrasound Lesion Segmentation: Effects of Preprocessing, Hyperparameter Optimization, and Test-Time Augmentation12.Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening13.An Iterative, Pathologist-in-the-Loop Workflow for Generation of Clinical-Grade Synthetic Pathology Images in a Diverse Cohort of Pancreatic Tumors14.Duplicate leakage in a public conjunctival pallor benchmark, and an honest baseline for image-based anaemia screening15.Persistent Cross-Institutional Domain Shift in Narrow-Band Imaging Classification of Colorectal Lesions and the Utility of Site-Specific Fine-Tuning16.Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology17.CRC-HGD: A Histopathological Image Dataset for Grading Colorectal Cancer18.StainBridge: Stain-Aware Pairwise Registration of Serial Renal Biopsy Whole-Slide Images Across Structural and Immunohistochemical Stains19.A novel PCD Micro-CT approach for microstructural analysis of rabbit vertebral bone20.FAR-POLYP-SEG: A Prospective Single-Center Colonoscopy Dataset for Colorectal Polyp Segmentation with Patient-Level Metadata and Baseline Cross-Dataset Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.