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Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Применить Всего найдено 2. Отображено 2.
30-05-2023 дата публикации

Full-slice image classification method and device based on adaptive training model

Номер: CN116188834A
Автор: YAO QINYUE, WANG JIN, CHEN RUI
Принадлежит:

The invention discloses a full-slice image classification method and device based on an adaptive training model. The method comprises the following steps: dividing a to-be-classified full-slice image into a plurality of full-slice sub-images, and inputting the full-slice sub-images into a pre-trained feature extraction model to obtain first feature information output by the feature extraction model; determining second feature information of the full-slice image according to the first feature information corresponding to the plurality of full-slice sub-images; inputting the second feature information of the full-slice image into a pre-trained first classification model to obtain the category of the full-slice image output by the first classification model; the first classification model is obtained by training the classification network based on the target search space and the first training set. By means of the technical means, the classification model which is high in stability and good ...

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Номер записи: 1
06-06-2023 дата публикации

Tumor prognosis evaluation method and device, computer equipment and storage medium

Номер: CN116228753A
Автор: SONG ERWEI, YAO HERUI, YU YUNFANG, REN WEI, TAN YUJIE, HE ZIFAN, YAO QINYUE, WANG JIN, CHEN LILIANG, SHAN LINGZHENG, CHEN RUI
Принадлежит:

The invention relates to a tumor prognosis evaluation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring preoperative image data of a target object; the preoperative image data comprises a plurality of image sequences; preprocessing each image sequence to obtain a four-dimensional image data set; respectively acquiring a tumor target mask corresponding to each piece of four-dimensional image data in the four-dimensional image data set; forming a plurality of tumor target region image data sets corresponding to the four-dimensional image data set according to connected regions meeting preset conditions in the tumor target region masks; and determining a tumor prognosis evaluation result of the target object based on each tumor target region image data set. According to the application, the evaluation dimension of the tumor prognosis evaluation result is increased, and the accuracy of the tumor prognosis evaluation result is also ...

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Номер записи: 2