Latest Research in Computer Vision and Pattern Recognition

Top Research Topics in Computer Vision and Pattern Recognition

• Computer Vision and Pattern Recognition — 11 papers
• COVID-19 diagnosis using AI — 6 papers
• Lung Cancer Diagnosis and Treatment — 4 papers
• AI in cancer detection — 2 papers
• Cell Image Analysis Techniques — 1 papers
• Endometriosis Research and Treatment — 1 papers
• Brucella: diagnosis, epidemiology, treatment — 1 papers
• Medical Imaging Techniques and Applications — 1 papers
• Machine Learning — 1 papers
• Advanced Radiotherapy Techniques — 1 papers

Highest-Cited Papers

1. Technical Report v1.19.1: The DB-Building Pipeline Behind Technical Reports v1.12–v1.16, Released for Reuse on Any Dataset
2. Automated lung tumor segmentation using enhanced U-Net architectures: a multi-backbone comparative study for clinical applications
3. Optimised cascaded CNN for tuberculosis diagnosis: integrating bird swarm algorithm with advanced image segmentation
4. Advancing discriminative to representative: A self-supervised classification framework by integrating selective diffusion model learned features for uterine adenomyosis diagnosis in transvaginal ultrasound image
5. Anatomical-Contextual YOLOv8–YOLOv12 Framework for Pulmonary Nodule Detection in CT: Multi-Organ Learning and Cross-Dataset Validation
6. DEEP LEARNING-DRIVEN PNEUMONIA DETECTION SYSTEM USING CONVOLUTIONAL NEURAL NETWORKS
7. ProACT: prototype-guided anchor-based test-time adaptation for pneumoconiosis diagnosis
8. Designing UNICORN: a Unified Benchmark for Imaging in Computational Pathology, Radiology, and Natural Language
9. Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification
10. Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models
11. Understanding and Mitigating Distribution Shifts in Volumetric Lung Nodule CAD Using a 3D Vision-Language Framework
12. A 2.5D Transformer-based multi-modal fusion framework for differentiating between brucellar spondylitis and spinal tuberculosis: a multicenter study
13. A Comparative Study of GAN-Based Deep Learning Models for Pneumonia Detection in Chest X-Rays
14. Evaluating an Artificial Immune System-Evolved Decision-Tree Ensemble for Chest X-Ray Classification
15. Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology
16. Deep Learning-Based Binary Classification of Pneumonia from Chest X-Ray Images Using PneumoniaMNIST: Development and Evaluation of a Convolutional Neural Network
17. Competence Is Not Protection: Prompt-Channel Demographic Bias in Pathology Vision-Language Models, and the Geometry That Predicts It
18. Improved 2.5D-UNet pseudo-CT generation for attenuation correction in PET imaging using 18F-fluorodeoxyglucose and 11C-acetoacetate radiotracers
19. Pneumonia and tuberculosis detection and classification using deep learning in resource limited settings, Ethiopia
20. Dual-Domain Spectral Vision Transformer with Asymmetric Boundary-Guided Diffusion for Ultra-High Resolution Panoptic Histopathology Segmentation