TY - GEN
T1 - KALM
T2 - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
AU - Huang, Wei
AU - Xiong, Zhitong
AU - Wang, Qi
AU - Li, Xuelong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Recently abnormality detection in musculoskeletal radio-graphs has attracted many attentions. For abnormality detection, it is crucial to locate the most important area in the musculoskeletal radiographs. To achieve this goal, we propose a key area localization mechanism (KALM) for abnormality detection for the first time in this paper. The proposed KALM explicitly defines the process of selecting the most important area from the whole image with using only image-level label. Based on KALM, we further present a joint global and local feature representation strategy for abnormality detection which takes as input both the entire image and the selected local area. The experimental results based on several classical convolutional neural network (CNN) architectures of MURA, the largest abnormality detection dataset of musculoskeletal radiographs, demonstrate the effectiveness of our KALM.
AB - Recently abnormality detection in musculoskeletal radio-graphs has attracted many attentions. For abnormality detection, it is crucial to locate the most important area in the musculoskeletal radiographs. To achieve this goal, we propose a key area localization mechanism (KALM) for abnormality detection for the first time in this paper. The proposed KALM explicitly defines the process of selecting the most important area from the whole image with using only image-level label. Based on KALM, we further present a joint global and local feature representation strategy for abnormality detection which takes as input both the entire image and the selected local area. The experimental results based on several classical convolutional neural network (CNN) architectures of MURA, the largest abnormality detection dataset of musculoskeletal radiographs, demonstrate the effectiveness of our KALM.
KW - abnormality detection
KW - CNN
KW - Key area localization mechanism
KW - musculoskeletal radiographs
UR - http://www.scopus.com/inward/record.url?scp=85089214017&partnerID=8YFLogxK
U2 - 10.1109/ICASSP40776.2020.9053768
DO - 10.1109/ICASSP40776.2020.9053768
M3 - 会议稿件
AN - SCOPUS:85089214017
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 1399
EP - 1403
BT - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 May 2020 through 8 May 2020
ER -