Deep Learning in Laparoscopic Colorectal Carcinoma Surgery under Magnetic Resonance Imaging
Autor: | Wei Tang, Wei Luo, Shuguang Pan, Tiejun Zhou |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Laparoscopic surgery
medicine.medical_specialty Article Subject Colorectal cancer medicine.medical_treatment Convolutional neural network 03 medical and health sciences QA76.75-76.765 0302 clinical medicine Biopsy Medicine Computer software Laparoscopy Pathological medicine.diagnostic_test business.industry Deep learning Magnetic resonance imaging medicine.disease Computer Science Applications Surgery 030220 oncology & carcinogenesis 030211 gastroenterology & hepatology Artificial intelligence business Software |
Zdroj: | Scientific Programming, Vol 2021 (2021) |
ISSN: | 1058-9244 |
Popis: | This study aimed to explore the application effect of magnetic resonance imaging (MRI) based on deep learning in laparoscopic surgery for colorectal carcinoma (CRC). 40 patients with CRC who were diagnosed and required laparoscopic surgery were selected in the research. The MRI scan images of all patients were processed based on the convolutional neural network algorithm. The MRI images before and after treatment were set as the control group and the experimental group, respectively. The consistency of MRI results with laparoscopic and postoperative pathological biopsy results was observed. Through the comparative analysis of the research results, in terms of consistency with the surgical plane, the assessment results of the experimental group were more consistent than those of the control group and direct observation under laparoscopy, and the difference was statistically significant ( P < 0.05 ). In terms of tumor T staging, the consistency between the experimental group and pathological biopsy results was superior to that of the control group, with considerable difference ( P < 0.05 ). In conclusion, practically speaking, the application of MR images based on convolutional neural network algorithm in laparoscopic CRC surgery was better than conventional MRI technology. However, the research was a small-scale pathological study, which was not very representative. |
Databáze: | OpenAIRE |
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