Pub Date : 2023-10-24DOI: 10.1007/s42600-023-00314-7
Oona Rainio, Jari Lahti, Mikael Anttinen, Otto Ettala, Marko Seppänen, Peter Boström, Jukka Kemppainen, Riku Klén
Abstract Purpose A new method of using a convolutional neural network (CNN) to perform automatic tumor segmentation from two-dimensional transaxial slices of positron emission tomography (PET) images of high-risk primary prostate cancer patients is introduced. Methods We compare three different methods including (1) usual image segmentation with a CNN whose continuous output is converted to binary labels with a constant threshold, (2) our new technique of choosing separate thresholds for each image PET slice with a CNN to label the pixels directly from the PET slices, and (3) the combination of the two former methods based on using the second CNN to choose the optimal thresholds to convert the output of the first CNN. The CNNs are trained and tested multiple times by using a data set of 864 slices from the PET images of 78 prostate cancer patients. Results According to our results, the Dice scores computed from the predictions of the second method are statistically higher than those of the typical image segmentation ( p -value<0.002). Conclusion The new method of choosing unique thresholds to convert the pixels of the PET slices directly into binary tumor masks is not only faster and more computationally efficient but also yields better results.
{"title":"New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images","authors":"Oona Rainio, Jari Lahti, Mikael Anttinen, Otto Ettala, Marko Seppänen, Peter Boström, Jukka Kemppainen, Riku Klén","doi":"10.1007/s42600-023-00314-7","DOIUrl":"https://doi.org/10.1007/s42600-023-00314-7","url":null,"abstract":"Abstract Purpose A new method of using a convolutional neural network (CNN) to perform automatic tumor segmentation from two-dimensional transaxial slices of positron emission tomography (PET) images of high-risk primary prostate cancer patients is introduced. Methods We compare three different methods including (1) usual image segmentation with a CNN whose continuous output is converted to binary labels with a constant threshold, (2) our new technique of choosing separate thresholds for each image PET slice with a CNN to label the pixels directly from the PET slices, and (3) the combination of the two former methods based on using the second CNN to choose the optimal thresholds to convert the output of the first CNN. The CNNs are trained and tested multiple times by using a data set of 864 slices from the PET images of 78 prostate cancer patients. Results According to our results, the Dice scores computed from the predictions of the second method are statistically higher than those of the typical image segmentation ( p -value<0.002). Conclusion The new method of choosing unique thresholds to convert the pixels of the PET slices directly into binary tumor masks is not only faster and more computationally efficient but also yields better results.","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"45 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135267695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-12DOI: 10.1007/s42600-023-00317-4
Sagar Deep Deb, Aqhlaqur Rahman, Rajib Kumar Jha
{"title":"Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier","authors":"Sagar Deep Deb, Aqhlaqur Rahman, Rajib Kumar Jha","doi":"10.1007/s42600-023-00317-4","DOIUrl":"https://doi.org/10.1007/s42600-023-00317-4","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136012630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11DOI: 10.1007/s42600-023-00306-7
T. SenthilPrakash, G. Kannan, Salini Prabhakaran, Bhagirath Parshuram Prajapati
{"title":"Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images","authors":"T. SenthilPrakash, G. Kannan, Salini Prabhakaran, Bhagirath Parshuram Prajapati","doi":"10.1007/s42600-023-00306-7","DOIUrl":"https://doi.org/10.1007/s42600-023-00306-7","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136211302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1007/s42600-023-00318-3
Paulo Eugênio Silva, Henrique Resende Martins, José Roberto de Deus Macedo, Alessandra Vasconcelos de Queiroz, Agda Ultra de Aguiar, Emerson Fachin Martins
{"title":"Towards innovative electrodiagnosis tests to investigate neuromuscular excitability dysfunction in critically ill patients: an agreement study","authors":"Paulo Eugênio Silva, Henrique Resende Martins, José Roberto de Deus Macedo, Alessandra Vasconcelos de Queiroz, Agda Ultra de Aguiar, Emerson Fachin Martins","doi":"10.1007/s42600-023-00318-3","DOIUrl":"https://doi.org/10.1007/s42600-023-00318-3","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135352271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1007/s42600-023-00304-9
Haradhan Chel, P. K. Bora, K. K. Ramchiary
{"title":"Segmentation-based Registration of Pre and Intra-operative Brain Ultrasound Images Using Particle Swarm Optimization","authors":"Haradhan Chel, P. K. Bora, K. K. Ramchiary","doi":"10.1007/s42600-023-00304-9","DOIUrl":"https://doi.org/10.1007/s42600-023-00304-9","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135015890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-19DOI: 10.1007/s42600-023-00313-8
Patrícia C. Andrade, Ricardo R. Bordonal, João H. Uliana, Giuliano R. Gonçalves, Hermes A. S. Kamimura, Eduardo T. Costa
{"title":"Generation of Induced Wavefront Focalization in the Human Temporal Bone Using a Standard Focused Ultrasound Single-Element Transducer","authors":"Patrícia C. Andrade, Ricardo R. Bordonal, João H. Uliana, Giuliano R. Gonçalves, Hermes A. S. Kamimura, Eduardo T. Costa","doi":"10.1007/s42600-023-00313-8","DOIUrl":"https://doi.org/10.1007/s42600-023-00313-8","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135015893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-16DOI: 10.1007/s42600-023-00310-x
Shuo Yang, Na Zhao, Shouwei Zhang, Qiang Xue
{"title":"Analysis of the effect of handrail and foot position on STS in healthy young adults with knee support","authors":"Shuo Yang, Na Zhao, Shouwei Zhang, Qiang Xue","doi":"10.1007/s42600-023-00310-x","DOIUrl":"https://doi.org/10.1007/s42600-023-00310-x","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135306083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-15DOI: 10.1007/s42600-023-00312-9
Karen Grancianinov, Kennedy dos Santos, Isabela Gonçalves, Giovanni Donda, Diogo Lauda, Suelen Amaral, Amanda Souza, Luana de Vasconcellos, Ivone Oliveira
{"title":"BG-58S macrospheres produced using BG powder synthesized by alkali-mediated sol–gel process and different phosphorus precursor","authors":"Karen Grancianinov, Kennedy dos Santos, Isabela Gonçalves, Giovanni Donda, Diogo Lauda, Suelen Amaral, Amanda Souza, Luana de Vasconcellos, Ivone Oliveira","doi":"10.1007/s42600-023-00312-9","DOIUrl":"https://doi.org/10.1007/s42600-023-00312-9","url":null,"abstract":"","PeriodicalId":55623,"journal":{"name":"Research on Biomedical Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135436908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}