Shanghai Jiao Tong University

Shanghai Sixth People's Hospital

Chongqing Hongjiang Machinery Co., Ltd.

Xuhong Hou

Liang Wu

Bin Sheng

Weiping Jia

Huating Li

Chao Chen

Peng Zhang

Yue Liu

Siyuan Pan

Chaolei Zhang

Ye Li

Tianhua Tu

Huie Liu

Yang Liu

Lang Gao

Yuanwen Xie

Methods of segmenting an abdominal image, computer apparatuses and storage mediums. The method includes acquiring an abdominal image to be examined; and classifying pixels in the abdominal image to be examined based on a trained full convolution neural network, and determining a segmented image corresponding to the abdominal image to be examined, wherein the trained full convolution neural network is trained and determined based on a first training set and a second training set, the first training set includes first sample abdominal images and pixel classification label images corresponding to the first sample abdominal images, the second training set includes second sample abdominal images and the number of pixels of second sample abdominal images correspondingly belong to each class. Through the methods herein, the accuracy of the segmentation can be improved.

Methods of segmenting an abdominal image, computer apparatuses, and storage mediums

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Shanghai, China

Xuhong Hou