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Capsules for Biomedical Image Segmentation [article]

Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci
2020 arXiv   pre-print
Our newly developed segmentation platform outperforms other methods across all datasets while utilizing less than 5% of the parameters in the popular U-Net for biomedical image segmentation.  ...  Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature.  ...  While our methods presented are applied to biomedical data, we want to emphasize that our theory is in no way only applicable to medical imaging.  ... 
arXiv:2004.04736v2 fatcat:zbofj34mnzcotf5dkpbwoocrda

Algorithm For Bleeding Determination Based On Object Recognition And Local Color Features In Capsule Endoscopy

Yong-Gyu Lee, Jin Hee Park, Youngdae Seo, Gilwon Yoon
2013 Zenodo  
Automatic determination of blood in less bright or noisy capsule endoscopic images is difficult due to low S/N ratio.  ...  Especially it may not be accurate to analyze these images due to the influence of external disturbance. Therefore, we proposed detection methods that are not dependent only on color bands.  ...  It is advantageous to remove gaps and holes and to have closed outlines for the purpose of image segmentation.  ... 
doi:10.5281/zenodo.1070181 fatcat:cnzok6ye2fduhg4zpzor24xhfi

Automated segmentation and characterization of esophageal wall in vivo by tethered capsule optical coherence tomography endomicroscopy

Giovanni J. Ughi, Michalina J. Gora, Anne-Fré Swager, Amna Soomro, Catriona Grant, Aubrey Tiernan, Mireille Rosenberg, Jenny S. Sauk, Norman S. Nishioka, Guillermo J. Tearney
2016 Biomedical Optics Express  
In this study, we developed a fully automated algorithm for the segmentation of in vivo OCT-TCE data sets and characterization of the esophageal wall.  ...  it is crucial to provide feedback for the operator about tissue contact during the imaging procedure.  ...  Segmentation results can be further processed to generate a 2D en face map depicting the contact (or the lack of contact) between the imaging capsule and the tissue for the entire data set.  ... 
doi:10.1364/boe.7.000409 pmid:26977350 pmcid:PMC4771459 fatcat:lspp6vtt6fa5jnafi2w32snwkm

Liver Segmentation: A Weakly End-to-End Supervised Model

Youssef Ouassit, Reda Moulouki, Mohammed Yassine El Ghoumari, Mohamed Azzouazi, Soufiane Ardchir
2020 International Journal of Online and Biomedical Engineering (iJOE)  
Liver segmentation in CT images has multiple clinical applications and is expanding in scope.  ...  Clinicians can employ segmentation for pathological diagnosis of liver disease, surgical planning, visualization and volumetric assessment to select the appropriate treatment.  ...  To meet these challenges, we are introducing an end-to-end model for liver segmentation using the capsules networks.  ... 
doi:10.3991/ijoe.v16i09.15159 fatcat:canmv7bdwjfmfk4fpvkyocn2ri

Computation Methods for Biomedical Information Analysis

Yong Xia, Weidong Cai, Xiaofeng Yang, Shanshan Wang
2018 Journal of Healthcare Engineering  
We would also like to thank all referees for their rigorous reviews with insightful and constructive comments that have definitely improved the quality of this issue.  ...  Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images" presents a comparative study on 12 automated cell nuclei segmentation methods, finding that the segmentation performances  ...  of medical image segmentation, classification, detection, modeling, predicting, and literature mining. e major part of this special issue is a collection of papers on image processing and analysis in  ... 
doi:10.1155/2018/8683601 fatcat:7juxikfoxjfczhwrt4v2l5re2a


Bindhu V
2019 Journal of Innovative Image Processing  
The proposed method involves the semantic segmentation model for the biomedical images by utilizing the encoder/decoder structure to down sample the spatial resolution of the input data and develop a lower  ...  The frame work put forth utilizes a pixel to pixel fully trained cascaded convolutional neural network for the task of image segmentation.  ...  time. in future the paper is to put forth the capsule network for the semantic segmentation process to elude the cost and the time spent in regaining the resolution lost in the pooling.  ... 
doi:10.36548/jiip.2019.2.004 fatcat:blv4cxmg2vgtvbdyijzjlpp55a

Introduction to the special issue on biomedical image technologies and methods

George Kontaxakis, Nikolaos Bourbakis, Konstantina S. Nikita, Constantinos S. Pattichis
2010 Computerized Medical Imaging and Graphics  
Acknowledgements The guest editors wish to thank all the participants in the IEEE BIBE 2008, which led to this special issue, and especially, the authors of this special issue for contributing such high  ...  The problem of nuclear segmentation in cancer tissue imaging that is critical for specific protein activity quantification and for cancer diagnosis and therapy is investigated by Cataldo et al.  ...  [7] propose a novel methodology for screening of the small intestine with Wireless Capsule Endoscopy (WCE), which is a revolutionary, relatively non-invasive imaging technique performed by a wireless  ... 
doi:10.1016/j.compmedimag.2010.06.001 pmid:20576402 fatcat:73gdpad5mjfqxbdzo5cfvctvsa

Special Issue: Capsule Networks and Imaging Science (CNIS)

P. Karuppusmay, Fuqian Shi, Yong Shi
2021 Neural Processing Letters  
We are pleased to present this special issue on Capsule Networks and Imaging Science.  ...  Imaging science has emerged as one of the most significant research domains by developing new technologies for image generation, analysis, classification, and visualization.  ...  The primary research objective of the ninth paper is to develop a novel methodology for brain tumor segmentation.  ... 
doi:10.1007/s11063-021-10550-6 fatcat:recnlgjqzbho3kuvbdievowvsu

Image Processing Using Color And Object Information For Wireless Capsule Endoscopy

Jin-Hee Park, Yong-Gyu Lee, Gilwon Yoon
2013 Zenodo  
Wireless capsule endoscopy provides real-time images in the digestive tract. Capsule images are usually low resolution and are diverse images due to travel through various regions of human body.  ...  Often color is not sufficient for this purpose. In this study, we took morphological shapes into account as additional, but important criterion.  ...  Park at Yonsei Medical School, Seoul, Korea for providing with the endoscope images.  ... 
doi:10.5281/zenodo.1073126 fatcat:cup2vilsivckxn6jbi7ibjy7xe

An extensible embedded terminal platform for wireless telemonitoring

Xiang Fang, Jingsheng Liao, Ruyi Zhang, Pingqiang Ni, Baopu Li, Max Q.-H. Meng
2012 2012 IEEE International Conference on Information and Automation  
Simple 3-D point reconstruction methods with accuracy prediction for multiocular system (  ...  A new density-ratio based approach for patient-specific biomedical monitoring (2011) ROBIO 2010 , art. no. 5723545, pp. 1463 -1467 Tumor CE image classification using SVM-based feature selection  ...  -H., Hu, C.Motion analysis for capsule endoscopy video segmentation (2011) IEEE International Conference on Automation and Logistics, ICAL, art. no. 6024682, pp. 46-51. Zhao, Q., Meng, M.Q.-H.  ... 
doi:10.1109/icinfa.2012.6246761 fatcat:slr3vcagkrezli2jif44u2wzui

Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices [article]

Alexander Karimov, Artem Razumov, Ruslana Manbatchurina, Ksenia Simonova, Irina Donets, Anastasia Vlasova, Yulia Khramtsova, Konstantin Ushenin
2019 arXiv   pre-print
In thepresent study, we analyzed the accuracy and performance ofUNet and ENet architectures for the problem of semantic imagesegmentation.  ...  Deep neural networks show high accuracy in theproblem of semantic and instance segmentation of biomedicaldata. However, this approach is computationally expensive.  ...  UNet was chosen for the current study as the gold standard for biomedical segmentation problems.  ... 
arXiv:1909.06840v3 fatcat:nyiwqjoarvcyvbtzdjxlupelxy

Detection of bleeding patterns in WCE video using TV-Retinex

Ming Li
2010 Journal of Biomedical Science and Engineering  
In this paper, we present the Retinex theory for bleeding detection in wireless capsule endoscopy (WCE).  ...  The Retinex theory is used to deal with the removal of unfavorable illumination effects from images.  ...  Table 1 . 1 Classification results with and withour TV-Retinex. [2] Baopu, L. (2009) Computer-aided detection of bleeding regions for capsule endoscopy images, IEEE Trans. on Biomedical Engineering, 56  ... 
doi:10.4236/jbise.2010.312148 fatcat:iwcbss3gszdgpbkmmntuxklzea

Improving CAD Hemorrhage Detection in Capsule Endoscopy

Polydorou Alexios, Sergaki Eleftheria, Polydorou Andreas, Barbagiannis Christos, Vardiambasis Ioannis, George Giakos, Zervakis Michail
2021 Journal of Biomedical Science and Engineering  
This study explores an automated framework to assist the recognition of hemorrhage traces and bleeding lesions in video streams of small bowel capsule endoscopy (SBCE).  ...  The best statistical performance for diagnosis of positive pathological frames from a video stream is achieved by utilizing masks in the HSV color model, with sensitivity up to 99%, precision 94.41% to  ...  Skoufoulas, a partner of Medtronic Hellas AEE, for his valuable help and the information he provided about the endoscopic capsule Pillcam™ SB by Given Imaging Ltd. (Yoqneam, Israel).  ... 
doi:10.4236/jbise.2021.143011 fatcat:tnqbsdkbxfbh7j5wgw6isu5v5i

Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging

Arjun D. Desai, Chunlei Peng, Leyuan Fang, Dibyendu Mukherjee, Andrew Yeung, Stephanie J. Jaffe, Jennifer B. Griffin, Sina Farsiu
2018 Biomedical Optics Express  
Our algorithm uses a fully convolutional network and blind image quality analyzers to segment usable anterior capsule regions.  ...  We present a fully automated algorithm for estimating gestational age of premature infants through smartphone lens imaging of the anterior lens capsule vasculature (ALCV).  ...  Along with the open source code, we have included the segmented images of the anterior capsule region for the 124 neonates in this study.  ... 
doi:10.1364/boe.9.006038 pmid:31065411 pmcid:PMC6491013 fatcat:7rpjz35z4bgfvdwbwptk3ynyte

Quantitative Evaluation of Cirrhosis by Geometrical Characteristics of Hepatic Capsule Based on High-frequency Ultrasound Imaging: an Experimental Study

Song, MS Jialin, Liu, MD Xiang, Zhang, MD Jianquan, Zhao, MD Jiaqi, Zhao, MS Lulu
for non-invasive assessment of cirrhosis.  ...  Results: With aggravating cirrhosis, the number of segments required to make the sum of lengths of continuous segments reach up to 80% of the total width of the imaging section was gradually increased.  ...  The study protocol was approved by the Ethics Committee for biomedical research in our institute.  ... 
doi:10.37015/audt.2021.200073 fatcat:7abarppihrbw5puc3mlzi3nexq
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