Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery: Bridging the Gap Between Clinical Needs and the Promise of Artificial Intelligence
Vision is critical to the practice of otolaryngology and head and neck surgery (OHNS).
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder …
S Ren, Y Lu, G Zhang, K Xie, D Chen, X Cai… - Journal of Translational …, 2024 - Springer
Objective The evaluation of the efficacy of immunotherapy is of great value for the clinical
treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi …
treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi …
[HTML][HTML] Enhanced WGAN Model for Diagnosing Laryngeal Carcinoma
Simple Summary This study aimed to enhance the accuracy of detecting laryngeal
carcinoma using a modified AI model based on U-Net. The model was designed to …
carcinoma using a modified AI model based on U-Net. The model was designed to …
Health Liability
Artificial intelligence (AI) in healthcare has initiated a novel domain in medical science,
presenting revolutionary prospects for augmenting patient care, enhancing diagnostic …
presenting revolutionary prospects for augmenting patient care, enhancing diagnostic …
Laryngeal Cancer Diagnosis Based on Improved YOLOv8 Algorithm
X Nie, X Zhang, D Wang, Y Liu, L Xing… - … Learning: Science and …, 2024 - iopscience.iop.org
Laryngeal cancer is the most common malignant tumor in the head and neck region. The
larynx, also known as the voice box, plays a crucial role in voice production and ventilation …
larynx, also known as the voice box, plays a crucial role in voice production and ventilation …
Advancements in Histopathologic Cancer Detection: A Deep Learning Odyssey
This research paper focuses on the application of the proposed convolutional neural
network (CNN) for histopathologic cancer detection, specifically targeting lymph node scans …
network (CNN) for histopathologic cancer detection, specifically targeting lymph node scans …
Choledochal cancer region detection in hyperspectral images using U-Net based models
Cholangiocarcinoma (CCA) is a type of cancer that forms in the bile duct that carry digestive
fluid from the liver. CCA is the primary form of liver cancer that affects population ranging …
fluid from the liver. CCA is the primary form of liver cancer that affects population ranging …