Method and device for detecting and locating lesion in medical image, equipment and storage medium

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United States of America Patent

PATENT NO 11961227
APP PUB NO 20210166383A1
SERIAL NO

17168884

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Abstract

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A method for detecting and locating a lesion in a medical image is provided. A target medical image of a lesion is obtained and input into a deep learning model to obtain a target sequence. A first feature map output from the last convolution layer in the deep learning model is extracted. A weight value of each network unit corresponding to each preset lesion type in a fully connected layer is extracted. For each preset lesion type, a fusion feature map is calculated according to the first feature map and the corresponding weight value and resampled to the size of the target medical image to generate a generic activation map. The maximum connected area in each generic activation map is determined, and a mark border surrounding the maximum connected area is created. A mark border corresponding to each preset lesion type is added to the target medical image.

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Patent Owner(s)

Patent OwnerAddress
PING AN TECHNOLOGY (SHENZHEN) CO LTD518000 GUANGDONG SHENZHEN FUTIAN DISTRICT FUTIAN STREET FU'AN COMMUNITY YITIAN ROAD 5033 PING AN FINANCIAL CENTER 23 FLOOR SHENZHEN CITY GUANGDONG PROVINCE 518000

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Lv, Bin Guangdong, CN 7 3
Lv, Chuanfeng Guangdong, CN 6 23
Wang, Yue Guangdong, CN 993 12150

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