Image classification method and device, computer readable storage medium and equipment
A classification method and a classification device technology, applied in image analysis, computer components, calculations, etc., can solve problems such as classification uncertainty and achieve the effect of ensuring classification robustness
Active Publication Date: 2021-09-17
SHANGHAI MINGPIN MEDICAL DATA TECH CO LTD
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However, in existing studies, a single-scale classifier is used for image classification, and the classification of different types of samples is uncertain, and the classification accuracy needs to be further improved.
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[0040] The embodiments of the present invention are described below through specific specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other under the condition of no conflict.
[0041] It should be noted that the drawings provided in the following embodiments are only used to illustrate the basic concept of the present invention in a schematic way, so the drawings only show the components related to the present invention rather than the number, shape and number of compo...
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The invention discloses an image classification method and apparatus, a computer readable storage medium and a device. The method comprises the steps of obtaining a to-be-processed image; performing zooming processing on the to-be-processed image to obtain input images of different sizes; inputting the input image into a pre-trained image classification model to perform classification processing on the input image to obtain a classification probability of the input image so as to obtain an image category to which the image belongs, wherein the image classification model is composed of a plurality of classifiers of different scales, the classifier of each scale corresponds to the input image of one size, and different classifiers correspond to the input images of different sizes. According to the method and device, the images are subjected to class processing through the multi-scale neural network, the classification robustness of the multi-scale input images is ensured, and the method and device has remarkable advantages in the aspect of image classification.
Description
technical field [0001] The present invention relates to the field of artificial intelligence, and in particular, to an image classification method, device, computer-readable storage medium and device. Background technique [0002] Medical images are an important basis for recording the diagnosis of patients, and obtaining high-quality medical images is of great significance for medical diagnosis. In recent years, with the rapid development of deep learning technology, convolutional neural networks have become a research hotspot for many scholars, and have been successfully used in image classification, target detection, and pedestrian detection. However, in the existing research, a single-scale classifier is used for image classification, and the classification of different types of samples is uncertain, and the classification accuracy needs to be further improved. SUMMARY OF THE INVENTION [0003] In view of the above-mentioned shortcomings of the prior art, the purpose ...
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IPC IPC(8): G06T7/00G06K9/42G06K9/62G06N3/04G06N3/08G06T3/40
CPCG06T7/0012G06N3/08G06T3/4007G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/20076G06T2207/20081G06T2207/20084G06T2207/30004G06N3/047G06N3/048G06N3/045G06F18/241G06F18/2415
Inventor 姚娟娟钟南山
Owner SHANGHAI MINGPIN MEDICAL DATA TECH CO LTD