A method and system for automatic identification of pathogenic phases in microscopic images of fungi
A microscopic image and automatic recognition technology, which is applied in the field of medical image technology processing, can solve the problems of high degree of subjective judgment of results and high labor intensity of personnel, and achieve the effects of reducing time, improving efficiency, and improving recognition
Active Publication Date: 2022-05-27
HUAZHONG UNIV OF SCI & TECH
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[0005] In view of the above defects or improvement needs of the prior art, the present invention provides a method and system for automatic identification of pathogenic phases in fungal microscopic images, thereby solving the problem of high labor intensity and subjective judgment of results in traditional manual fungal microscopic examination. High degree of technical problems
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[0040] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0041] The image analysis method proposed in the present invention is not intended to completely replace medical staff in disease diagnosis, but to provide doctors with objective and accurate judgment suggestions through a scientific analysis method to assist in diagnosis, thereby improving the work efficiency of doctors and obtaining better results. accurate diagnosis.
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The invention discloses a method and system for automatically identifying pathogenic phases in microscopic images of fungi, comprising: binarizing each microscopic image of fungi to obtain a foreground image of each microscopic image of fungi; extracting the Mycelial features and non-mycelial features, obtaining the sample data required for SVM training; using the SVM machine learning algorithm to train the sample data to obtain a target recognition model, to use the target recognition model to identify the microscopic image of the fungus to be detected , and mark the hyphae in the image of the fungus to be detected. The hyphal structure of the pathogenic phase can be detected from the image and precisely positioned by the invention.
Description
technical field [0001] The invention belongs to the field of medical image technology processing, and more particularly relates to an automatic identification method and system of pathogenic phase in fungal microscopic images. Background technique [0002] Fungal infection is already a major disease that seriously affects people's health in my country. Medical units urgently need to improve the diagnosis and treatment ability of fungal infection, especially the use of new scientific and technological methods to accurately and efficiently detect pathogenic bacteria. [0003] At present, the main techniques for fungal detection include direct microscopy, fungal culture, and culture inspection. Among them, direct microscopy, as one of the classic fungal inspection methods, has the advantages of high positive rate and fast reporting. Medical staff need to observe and judge the sample in the field of view of the microscope. If pathogenic hyphal components are found in the micros...
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IPC IPC(8): G06V20/69G06V10/77G06K9/62
CPCG06V20/698G06F18/2135
Inventor 曾绍群吕晓华刘越田靓程胜华
Owner HUAZHONG UNIV OF SCI & TECH