AI-Powered Techniques in Anatomical Imaging: Impacts on Veterinary Diagnostics and Surgery
AS Vickram, SS Infant, H Chopra - Annals of Anatomy-Anatomischer …, 2024 - Elsevier
Background Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging,
offering improved accuracy, speed, and efficiency in analyzing complex anatomical …
offering improved accuracy, speed, and efficiency in analyzing complex anatomical …
Clinical outcomes and actual consequence of lung nodules incidentally detected on chest radiographs by artificial intelligence
SH Hwang, HJ Shin, EK Kim, EH Lee, M Lee - Scientific reports, 2023 - nature.com
This study evaluated how often clinically significant lung nodules were detected
unexpectedly on chest radiographs (CXR) by artificial intelligence (AI)—based detection …
unexpectedly on chest radiographs (CXR) by artificial intelligence (AI)—based detection …
Nodule detection and generation on chest X-rays: NODE21 Challenge
E Sogancioglu, B Van Ginneken… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of
cancer-related deaths among both men and women. Numerous studies have established …
cancer-related deaths among both men and women. Numerous studies have established …
Better performance of deep learning pulmonary nodule detection using chest radiography with pixel level labels in reference to computed tomography: data quality …
Labeling errors can significantly impact the performance of deep learning models used for
screening chest radiographs. The deep learning model for detecting pulmonary nodules is …
screening chest radiographs. The deep learning model for detecting pulmonary nodules is …
[HTML][HTML] Deep Learning-Based Object Detection Strategies for Disease Detection and Localization in Chest X-Ray Images
YC Cheng, YC Hung, GH Huang, TB Chen… - …, 2024 - pmc.ncbi.nlm.nih.gov
Background and Objectives: Chest X-ray (CXR) images are commonly used to diagnose
respiratory and cardiovascular diseases. However, traditional manual interpretation is often …
respiratory and cardiovascular diseases. However, traditional manual interpretation is often …
Concatenated Modified LeNet Approach for Classifying Pneumonia Images
D Jaganathan, S Balsubramaniam… - Journal of Personalized …, 2024 - mdpi.com
Pneumonia remains a critical health concern worldwide, necessitating efficient diagnostic
tools to enhance patient care. This research proposes a concatenated modified LeNet …
tools to enhance patient care. This research proposes a concatenated modified LeNet …
Pulmonary Nodule Detection on Chest X-rays: Exploring Deep Learning Algorithms and Their Clinical Impact
Y Wang - 2024 4th International Conference on Electronic …, 2024 - ieeexplore.ieee.org
Lung cancer is one of the leading causes of death worldwide, and early detection of lung
nodules is crucial for the prevention and treatment of lung cancer. Early detection of lung …
nodules is crucial for the prevention and treatment of lung cancer. Early detection of lung …
Revisión Sistemática de Técnicas De Inteligencia Artificial para Detección de Cáncer Pulmonar en Imágenes Médicas
R Tueros, C Cánepa, C Muñoz… - Revista Cientifica …, 2024 - revista.ectperu.org.pe
El cáncer de pulmón es la principal causa de muerte por cáncer en el mundo, con 2.5
millones de fallecimientos y 1.8 millones de nuevos casos en 2022, estas cifras reflejan una …
millones de fallecimientos y 1.8 millones de nuevos casos en 2022, estas cifras reflejan una …
[PDF][PDF] Analyzing the significance of faster R-CNN model in lung nodule detection
P Agarwal, K Rawal - osf.io
Accurate detection of lung nodules is crucial for early diagnosis and treatment of lung
diseases. This paper presents a case study employing an enhanced Faster R-CNN model …
diseases. This paper presents a case study employing an enhanced Faster R-CNN model …