A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information
Joint Authors
Pei, Yan
Li, Siqi
Zhu, Honglin
Li, Haoming
Jiang, Huiyan
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Pathological image classification is of great importance in various biomedical applications, such as for lesion detection, cancer subtype identification, and pathological grading.
To this end, this paper proposed a novel classification framework using the multispace image reconstruction inputs and the transfer learning technology.
Specifically, a multispace image reconstruction method was first developed to generate a new image containing three channels composed of gradient, gray level cooccurrence matrix (GLCM) and local binary pattern (LBP) spaces, respectively.
Then, the pretrained VGG-16 net was utilized to extract the high-level semantic features of original images (RGB) and reconstructed images.
Subsequently, the long short-term memory (LSTM) layer was used for feature selection and refinement while increasing its discrimination capability.
Finally, the classification task was performed via the softmax classifier.
Our framework was evaluated on a publicly available microscopy image dataset of IICBU malignant lymphoma.
Experimental results demonstrated the performance advantages of our proposed classification framework by comparing with the related works.
American Psychological Association (APA)
Zhu, Honglin& Jiang, Huiyan& Li, Siqi& Li, Haoming& Pei, Yan. 2019. A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information. BioMed Research International،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1124648
Modern Language Association (MLA)
Zhu, Honglin…[et al.]. A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information. BioMed Research International No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1124648
American Medical Association (AMA)
Zhu, Honglin& Jiang, Huiyan& Li, Siqi& Li, Haoming& Pei, Yan. A Novel Multispace Image Reconstruction Method for Pathological Image Classification Based on Structural Information. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1124648
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124648