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MedNet: A Dual-Copy Mechanism for Medical Report Generation from Images

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成果类型:
会议论文
作者:
Nie, Peng;Liu, Xinbo
通讯作者:
Liu, XB
作者机构:
[Nie, Peng] Guangdong Univ Sci & Technol, Dongguan, Peoples R China.
[Liu, XB; Liu, Xinbo] Hunan Agr Univ, Coll Informat & Intelligence, Changsha, Peoples R China.
通讯机构:
[Liu, XB ] H
Hunan Agr Univ, Coll Informat & Intelligence, Changsha, Peoples R China.
语种:
英文
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2023
卷:
14255
页码:
469-481
会议名称:
32nd International Conference on Artificial Neural Networks (ICANN)
会议论文集名称:
Lecture Notes in Computer Science
会议时间:
SEP 26-29, 2023
会议地点:
Heraklion, GREECE
会议主办单位:
[Nie, Peng] Guangdong Univ Sci & Technol, Dongguan, Peoples R China.^[Liu, Xinbo] Hunan Agr Univ, Coll Informat & Intelligence, Changsha, Peoples R China.
主编:
Iliadis, L Papaleonidas, A Angelov, P Jayne, C
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
SPRINGER INTERNATIONAL PUBLISHING AG
ISBN:
978-3-031-44209-4; 978-3-031-44210-0
基金类别:
Hunan Provincial Department of Education Scientific Research Outstanding Youth Project [21B0200]; Hunan Provincial Natural Science Foundation Youth Fund Project [2023JJ40333]; Natural Science Foundation of Hunan Province [2022JJ30308]
机构署名:
本校为通讯机构
摘要:
Generating medical reports from images is a complex task in the healthcare domain. Existing approaches often rely on predefined templates to retrieve sentences and do not take into account the hierarchical structure of medical reports. Additionally, they overlook the selective copying of input sequences to output sequences. To address these challenges, we propose MedNet, a generation-based model that employs a dual-copy mechanism to automatically generate medical reports from images. Our methodology involves first extracting features from images using an image encoder. Next, we use a dual-copy...

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