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Method of recognizing image of lung cancer cells with high accuracy and low rate of false negative

A technology for lung cancer cell and image recognition, applied in sensors, diagnosis, applications, etc., can solve the problem of identifying lung cancer cells

Inactive Publication Date: 2003-12-24
NANJING UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0003] The purpose of the present invention is to provide a high-precision and low false-negative rate lung cancer cell image recognition method to assist in improving computer Performance of auxiliary lung cancer diagnostic device

Method used

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  • Method of recognizing image of lung cancer cells with high accuracy and low rate of false negative
  • Method of recognizing image of lung cancer cells with high accuracy and low rate of false negative
  • Method of recognizing image of lung cancer cells with high accuracy and low rate of false negative

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Embodiment Construction

[0011] Such as figure 1 As shown, the computer-aided lung cancer diagnosis device uses a digital camera installed on an optical microscope to take pictures of cytopathological sections, which have usually been stained with hematoxylin-eosin and other means. After appropriate image preprocessing such as enhancement, denoising, segmentation, etc., the image of the cell is handed over to the lung cancer cell image recognition part for processing. The present invention mainly relates to figure 1 The image recognition part of lung cancer cells in China, namely figure 1 In step 1.

[0012] The method of the present invention is as figure 2 shown. Step 10 is the initial action. Step 11 judges whether the recognition mechanism has been trained, and if it has been trained, it can handle the recognition task, and executes step 17; otherwise, it needs to be trained, and executes step 12. Step 12 respectively generates the training data set of the two-level neural network integrati...

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Abstract

A high-accuracy lung cancer cell image recognizing method with low false negative rate includes taking the photo of pathological cell section by digital camera on optical microscope, picking up the video image by image pick-up device, sending it to computer, pre-processing, and recognizing by lung cancer cell image recognizing unit consisting of two-stage neural network.

Description

1. Technical field [0001] The invention relates to a computer-aided lung cancer diagnosis device, in particular to a method for identifying lung cancer cells with high precision and low false negative rate from pathological section cell images. 2. Background technology [0002] Lung cancer is a serious and fatal disease. The main methods for medical diagnosis include chest X-ray, CT, nuclear magnetic resonance, isotope, fiberoptic bronchoscopy, and percutaneous biopsy. With the development of computer technology, the computer-aided lung cancer diagnosis device has become an important auxiliary diagnosis method because it is not affected by factors such as fatigue and emotion. Most of the current computer-aided lung cancer diagnosis devices analyze and process X-ray chest images and CT images, and few directly analyze and process pathological section cell images. Due to the high reliability of pathological diagnosis, the auxiliary diagnostic device using cell images of patho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G01N33/574G06F19/00
Inventor 周志华
Owner NANJING UNIV
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