№ files_lp_3_process_7_053437
Year: 2023
Region / city: Wuhan, China
Topic: Medical Imaging, Artificial Intelligence, Gastrointestinal Stromal Tumors
Document Type: Research Article
Organization / Institution: Renmin Hospital of Wuhan University
Authors: Chenxia Zhang, Wei Tan, Xun Li, Xiao Tao, Bing Xiao, Wei Zhou, Honggang Yu
Target Audience: Medical professionals, researchers in gastroenterology and artificial intelligence
Period of Application: Not specified
Date of Approval: Not specified
Date of Changes: Not specified
Keywords: Gastrointestinal Stromal Tumors, Endoscopic Ultrasound, Artificial Intelligence, Risk Stratification, Deep Learning
Methodology: Image Classification, Image Segmentation, Deep Convolutional Neural Network (DCNN), ResNet, Unet++
Evaluation Metrics: Accuracy, Intersection over Union (IoU), Precision, Recall, F1 score
Conclusion: The use of AI-based risk stratification and image analysis improves GIST diagnosis accuracy
References: Li J, Zhu Y, Dong Z, et al., Yao L, Zhang J, Liu J, et al., Zhou Z, Siddiquee MMR, Tajbakhsh N, Liang J
Price: 8 / 10 USD
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