Stomach pathology slice image classification method and device, and storage medium
A technology of pathological slices and classification methods, applied in the field of image recognition, can solve problems such as low recognition accuracy, cumbersome operations, and misidentification of lesion areas, and achieve the effects of simplifying the recognition process, improving recognition efficiency, and high accuracy
Pending Publication Date: 2021-06-18
PING AN TECH (SHENZHEN) CO LTD
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However, this identification method needs to manually set a threshold for each category, which is cumbersome to operate
Moreover, the threshold corresponding to each category requires a large amount of experimental data to obtain, the process is cumbersome, and a large amount of manual labor is required.
In addition, dividing the entire gastric pathological slice image into multiple small image blocks may divide the lesion area into multiple small areas, which will misidentify some lesion areas as false positives, resulting in low recognition accuracy
[0004] Therefore, the existing process of classifying gastric pathological slice images is cumbersome and the recognition accuracy is low
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[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0034] The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed ste...
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The invention relates to the field of medical science and technology, and particularly discloses a stomach pathology slice image classification method and device, and a storage medium. The method comprises the following steps: acquiring a stomach pathology slice image; segmenting the stomach pathology slice image into a plurality of stomach pathology slice image blocks with the same dimension; processing each stomach pathology slice image block to obtain a feature vector corresponding to each stomach pathology slice image block and a probability segmentation map, wherein the probability segmentation map is used for representing the probability that each pixel point in the stomach pathology slice image is positive; according to the probability segmentation map corresponding to each stomach pathology slice image block, determining at least one target stomach pathology slice image block in the plurality of stomach pathology slice image blocks; and determining a category corresponding to the stomach pathology slice image according to the feature vector corresponding to each target stomach pathology slice image block in the at least one target stomach pathology slice image block. The method, the device and the medium in the embodiment of the invention are beneficial to improving the classification efficiency.
Description
technical field [0001] The present application relates to the technical field of image recognition, in particular to a method, device and storage medium for classifying images of gastric pathological slices. Background technique [0002] Stomach disease is one of the common human diseases, and the incidence rate in the whole country and even the whole world is particularly high. A large number of patients with stomach disease brings heavy workload to hospital doctors, and makes patients wait longer for inspection reports. Therefore, in order to reduce the workload of doctors, image recognition is used to classify gastric pathological images, so as to assist doctors to speed up the classification. [0003] Due to the large size of the gastric pathological slice image, the entire slice is divided into multiple small image blocks during the image recognition process, and then each small image block is classified to obtain the category corresponding to each small image block. T...
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IPC IPC(8): G06K9/62G06K9/46G06T7/143G06N3/04G06N3/08
CPCG06T7/143G06N3/04G06N3/08G06T2207/30092G06V10/462G06F18/241G06F18/214
Inventor 谢春梅
Owner PING AN TECH (SHENZHEN) CO LTD