Cancer lesion detection and diagnosis system for early esophageal squamous cell carcinoma of narrow-band endoscopic image

A technology for esophageal squamous cell carcinoma and diagnosis system, applied in the field of medical image processing, can solve the problems of insufficient doctor experience, fatigue, affecting the accuracy of diagnosis, etc., and achieve the effect of improving the efficiency of diagnosis, improving efficiency and accuracy, and reducing the amount of calculation.

Active Publication Date: 2020-12-18
FUDAN UNIV
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AI Technical Summary

Problems solved by technology

However, some human factors, such as doctors' inexperience, fatigue, negligence, etc., may directly affect the accuracy of diagnosis

Method used

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  • Cancer lesion detection and diagnosis system for early esophageal squamous cell carcinoma of narrow-band endoscopic image
  • Cancer lesion detection and diagnosis system for early esophageal squamous cell carcinoma of narrow-band endoscopic image
  • Cancer lesion detection and diagnosis system for early esophageal squamous cell carcinoma of narrow-band endoscopic image

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Embodiment Construction

[0025] The embodiments of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the examples.

[0026] The present invention adopts figure 1 The network framework shown is trained using 100 narrow-band imaging endoscopic images marked by multiple experienced doctors, so as to obtain a model that can automatically detect and diagnose esophageal squamous cell carcinoma foci on narrow-band imaging endoscopic images. The specific process is:

[0027] (1) Before training, initialize the network parameters with the pre-trained ResNet-50 model, and scale the images in the training set so that their resolution does not exceed 800×1333, and the corresponding bounding boxes are also scaled in the same proportion;

[0028] (2) During training, first normalize the three-channel (RGB) of the image according to mean = [0.485, 0.456, 0.406] and standard deviation = [0.229, 0.224, 0.225]. Using the stochastic gradient desc...

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Abstract

The invention belongs to the technical field of medical image processing, and particularly relates to a cancer lesion detection and diagnosis system for early esophageal squamous cell carcinoma of a narrow-band endoscopic image. The system comprises a feature extraction backbone network, a feature pyramid, a region candidate network, a region of interest pooling unit and a cancer focus classification network, and a system for visualization on a narrow-band imaging endoscope image. The backbone network is used for extracting a feature map of an input image; the feature pyramid is used for fusing features of different scales; the region candidate network proposes a possible lesion region; the region of interest pooling unit pools the features to a suspected lesion area; the cancer lesion classification network classifies the cancer lesions; and finally, a narrow-band imaging endoscopic image is visualised, and frame selection marking is carried out on the cancer lesions by using different colors. The image of the narrow-band imaging endoscope is input into the network model, the cancer focus of the early esophageal squamous cell carcinoma existing in the image is detected and diagnosed, the diagnosis efficiency can be effectively improved, and a doctor is assisted in obtaining higher diagnosis precision.

Description

technical field [0001] The invention belongs to the technical field of medical image processing, and in particular relates to a cancer focus detection and diagnosis system for early esophageal squamous cell carcinoma. Background technique [0002] Esophageal cancer is a common malignant tumor, and its mortality rate ranks sixth among malignant tumors. 95% of esophageal cancer in China is squamous cell carcinoma [10] . Studies have shown that the five-year survival rate of advanced esophageal squamous cell carcinoma is only 10%-13%, while the five-year survival rate of early-stage esophageal squamous cell carcinoma can reach more than 90%. [11] , so early diagnosis and treatment of esophageal squamous cell carcinoma is extremely important, which will directly affect the prognosis of patients. In recent years, with the development of endoscopic technology, endoscopic treatment of early esophageal squamous cell carcinoma has been recognized. The feasibility of endoscopic tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/32G06K9/62
CPCG06T7/0012G06T2207/10068G06T2207/20081G06T2207/20084G06T2207/30096G06V10/25G06V2201/031G06F18/24
Inventor 钟芸诗颜波蔡世伦谭伟敏王沛晟林青
Owner FUDAN UNIV
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