Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040413
Dan Long, Yingjun Liu, Zengsi Chen, Jingsi Xie, Cong Luo, Lei Shi
{"title":"The Effect Analysis of Atlas and Global Signal Regression in Classification based on Brain Network for Major Depression Disorders","authors":"Dan Long, Yingjun Liu, Zengsi Chen, Jingsi Xie, Cong Luo, Lei Shi","doi":"10.2352/j.imagingsci.technol.2022.66.4.040413","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040413","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41457154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040406
Xuepei Ma, Xiao-hong Wang, Kun Zhang
{"title":"Fall Detection Method for Embedded Devices","authors":"Xuepei Ma, Xiao-hong Wang, Kun Zhang","doi":"10.2352/j.imagingsci.technol.2022.66.4.040406","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040406","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42241325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040403
I. Ding, Ya-Cheng Juang, Bing Lin
{"title":"A Dual-channel Artificial Neural Network Decision Fusion Framework Incorporated with Deep Learning of Inertial Measurement Unit Sensor-based Spectrum Images for Hand Gesture Intention Cognition","authors":"I. Ding, Ya-Cheng Juang, Bing Lin","doi":"10.2352/j.imagingsci.technol.2022.66.4.040403","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040403","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44910401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040411
Gengyu Ge, Yi Zhang, W. Wang, Qian Wang
{"title":"Medical Mobile Robot Localization in Hospital Corridor Environment Using Laser SLAM and Text Features","authors":"Gengyu Ge, Yi Zhang, W. Wang, Qian Wang","doi":"10.2352/j.imagingsci.technol.2022.66.4.040411","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040411","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42033147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An End-to-end Medical Image Segmentation Model based on Multi-scale Feature Extraction","authors":"Tingzhong Wang, Hailong Wang, Nanjie Li, Junhong Xian, Zhongqiang Zhao, Deguang Li","doi":"10.2352/j.imagingsci.technol.2022.66.4.040416","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040416","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48766767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040410
Wenda Xie, Jun Yu, Xiaobo Jiang, Zongren Chen
{"title":"Natural Feature Recognition of Multi Pose Face Images based on Augmented Reality","authors":"Wenda Xie, Jun Yu, Xiaobo Jiang, Zongren Chen","doi":"10.2352/j.imagingsci.technol.2022.66.4.040410","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040410","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43192019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040408
Bo Wang, Fengqiang Yuan, Zhiwei Lv, Ying He, Zongren Chen, Jianhua Hu, Jun Yu, Shuzhao Zheng, Hai Liu
. Thyroid nodules classification in ultrasound images is actively researched in the field of medical image processing. However, due to the low quality of ultrasound images, severe speckle noise, the complexity and diversity of nodules, etc., the classification and diagnosis of thyroid nodules are extremely challenging. At present, deep learning has been widely used in the field of medical image processing, and has achieved good results. However, there are still many problems to be solved. To address these issues, we propose a mask-guided hierarchical deep learning (MHDL) framework for the thyroid nodules classification. Specifically, we first develop a Mask RCNN network to locate thyroid nodules as the region of interest (ROI) for each image, to remove confounding information from input ultrasound images and extract texture, shape and radiology features as the low dimensional features. We then design a residual attention network to extract depth feature map of ROI, and combine the above low dimensional features to form a mixed feature space via dimension alignment technology. Finally, we present an AttentionDrop-based convolutional neural network to implement the classification of benign and malignant thyroid nodules in the mixed feature space. The experimental results show that our proposed method can obtain accurate nodule classification results, and hierarchical deep learning network can further improve the classification performance, which has immense clinical application value. c (cid:13) 2022 Society for Imaging Science and Technology. [DOI: 10.2352
{"title":"Hierarchical Deep Learning Networks for Classification of Ultrasonic Thyroid Nodules","authors":"Bo Wang, Fengqiang Yuan, Zhiwei Lv, Ying He, Zongren Chen, Jianhua Hu, Jun Yu, Shuzhao Zheng, Hai Liu","doi":"10.2352/j.imagingsci.technol.2022.66.4.040408","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040408","url":null,"abstract":". Thyroid nodules classification in ultrasound images is actively researched in the field of medical image processing. However, due to the low quality of ultrasound images, severe speckle noise, the complexity and diversity of nodules, etc., the classification and diagnosis of thyroid nodules are extremely challenging. At present, deep learning has been widely used in the field of medical image processing, and has achieved good results. However, there are still many problems to be solved. To address these issues, we propose a mask-guided hierarchical deep learning (MHDL) framework for the thyroid nodules classification. Specifically, we first develop a Mask RCNN network to locate thyroid nodules as the region of interest (ROI) for each image, to remove confounding information from input ultrasound images and extract texture, shape and radiology features as the low dimensional features. We then design a residual attention network to extract depth feature map of ROI, and combine the above low dimensional features to form a mixed feature space via dimension alignment technology. Finally, we present an AttentionDrop-based convolutional neural network to implement the classification of benign and malignant thyroid nodules in the mixed feature space. The experimental results show that our proposed method can obtain accurate nodule classification results, and hierarchical deep learning network can further improve the classification performance, which has immense clinical application value. c (cid:13) 2022 Society for Imaging Science and Technology. [DOI: 10.2352","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42453306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-01DOI: 10.2352/j.imagingsci.technol.2022.66.4.040405
Kun Zhang, Liting Zhang, Xiao-hong Wang, Xinshuai Hua, Xuan Gao
{"title":"DiM-PCNet:3D Point Clouds Classification with Multi-scale and Multi-level Feature Net","authors":"Kun Zhang, Liting Zhang, Xiao-hong Wang, Xinshuai Hua, Xuan Gao","doi":"10.2352/j.imagingsci.technol.2022.66.4.040405","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2022.66.4.040405","url":null,"abstract":"","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43613241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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