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Intestinal cancer auxiliary diagnosis model construction and auxiliary diagnosis method and system

A technology for assisting diagnosis and building methods, which is applied in image data processing, instruments, calculations, etc., to achieve accurate prediction results, good auxiliary functions, and make up for lack of technology and experience.

Pending Publication Date: 2021-07-13
TIANJIN TUMOR HOSPITAL
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Problems solved by technology

However, the use of convolutional neural networks to analyze large-scale colonoscopy images for optically assisted diagnosis of colorectal cancer has not been reported.

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  • Intestinal cancer auxiliary diagnosis model construction and auxiliary diagnosis method and system

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Embodiment Construction

[0072] The present invention will be further described below in conjunction with specific embodiments, but the following embodiments are by no means limiting to the present invention.

[0073] Data Sources

[0074] From August 2011 to March 2019, 464,105 images of 12,179 patients were obtained in Tianjin Cancer Hospital (TCH) as historical diagnosis and treatment sample images (i.e. Training set ), including 3176 colorectal cancer patients and 9003 non-colorectal cancer controls. Colorectal cancer patients accounted for 62.5% (1985 / 3176) males and 54.5% (4909 / 9003) in the control group. The colorectal cancer patient group was 60 years old (53-67 years old) and the control group was 57 years old (49-64 years old). For colorectal cancer patients, tumors at different sites included: ascending colon (19.9%, n=631), transverse colon (4.5%, n=143), descending colon (5.6%, n=178), sigmoid colon (17.7%, n=178) 561) and rectum (52.4%, n=1663). Colorectal cancers accounted for 11.4...

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Abstract

The invention discloses an intestinal cancer auxiliary diagnosis model construction and auxiliary diagnosis method and system. The construction method comprises the steps of historical diagnosis and treatment sample image collection, preprocessing and model training. The constructed intestinal cancer auxiliary diagnosis model has high performance in the aspect of recognizing intestinal cancer and benign diseases such as adenoma and polyp, consistency and stability are good, and the credibility of a prediction result is equivalent to that of a skilled enteroscope physician.

Description

technical field [0001] The invention belongs to the technical field of medical data processing, in particular to a method and system for constructing an auxiliary diagnosis model and an auxiliary diagnosis, in particular to a method and system for constructing an auxiliary diagnosis model and an auxiliary diagnosis for colorectal cancer. Background technique [0002] Colorectal cancer (CRC) is the second leading cause of cancer-related death and the third most common cancer type worldwide. Colonoscopy is the most commonly used tool for screening CRC. It can directly biopsy intestinal tumor masses for pathological diagnosis. In observational studies, colonoscopy screening helped reduce mortality from bowel cancer, about 80% of which could be prevented by polypectomy. Comparative studies have shown that prompt treatment of atypical hyperplasia or early-stage bowel cancer can prolong overall survival. In addition, incomplete biopsy often leads to misdiagnosis of early-stage c...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10068G06T2207/20081G06T2207/20084G06T2207/30028G06T2207/30032G06T2207/30096
Inventor 田斐李祥春陈可欣周德俊孔大陆杨一晨
Owner TIANJIN TUMOR HOSPITAL