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AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features

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Affiliation of Author(s):微电子与通信工程学院

Journal:SENSORS

Key Words:Chemistry, Analytical; Engineering, Electrical & Electronic; Instruments & Instrumentation

First Author:谭晓衡

Correspondence Author:黄盼

Co-author:黄盼(学),陈晨,Lv XY(外),李勇明

Indexed by:Journal paper

Document Code:223197

Volume:21

Page Number:-

ISSN No.:1424-8220

Date of Publication:2021-01-01

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