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Deep Learning in Selected Cancers' Image Analysis—A Survey

Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega
2020 Journal of Imaging  
Deep learning has been applied in almost all of the imaging modalities used for cervical and breast cancers and MRIs for the brain tumor.  ...  countries; while, the study has not had much attention in Africa despite the dramatic soar of cancer risks in the continent.  ...  Deep learning has been applied for cervical cancer screening in many of its screening methods.  ... 
doi:10.3390/jimaging6110121 pmid:34460565 fatcat:2xvx5uya25a23nxicq3hdl42hi

An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Spatial Deep Features [article]

Ziquan Wei, Shenghua Cheng, Xiuli Liu, Shaoqun Zeng
2021 arXiv   pre-print
Feature representations of the sparse and tiny lesion cells in cervical slides, however, are still challengeable for the under-promoted upstream encoders, while the unused spatial representations of cervical  ...  This study designs a novel inline connection network (InCNet) by enriching the multi-scale connectivity to build the lightweight model named You Only Look Cytopathology Once (YOLCO) with the additional  ...  Furthermore, the 5-year survival rate of cervical cancer is as high as 92% ( [2] ) if detected early, and hence it is significant that enhancing the accuracy of cervical cancer screening.  ... 
arXiv:2106.15113v2 fatcat:cdkmkqe7bnhk3o3v6kpijy2l3i

Segmentation of Cervical Cell Images based on Generative Adversarial Networks

Jinjie Huang, Guihua Yang, Biao Li, Yongjun He, Yani Liang
2021 IEEE Access  
The segmentation of cervical cell in liquid-based smear image plays an important role in cervical cancer detection.  ...  To solve this problem, a novel method is proposed based on Cell-GAN -a generative adversarial network.  ...  Khurram Khan . detection, significantly improves the screening sensitivity and specificity for cervical cancers, which is currently the most effective screening method for the disease [4] .This method  ... 
doi:10.1109/access.2021.3104609 fatcat:yzszmddxqvatpbekzcckmyjwbq

A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images

Wasswa William, Andrew Ware, Annabella Habinka Basaza-Ejiri, Johnes Obungoloch
2019 BioMedical Engineering OnLine  
Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of cervical cancer.  ...  Conclusions: The major contribution of this tool in a cervical cancer screening workflow is that it reduces on the time required by the cytotechnician to screen very many pap-smears by eliminating the  ...  for the first author at the University of Strathclyde.  ... 
doi:10.1186/s12938-019-0634-5 fatcat:frwymgtwgvcuxblkiwrqorx2fy

Network Visualization and Pyramidal Feature Comparison for Ablative Treatability Classification Using Digitized Cervix Images

Peng Guo, Zhiyun Xue, Jose Jeronimo, Julia C Gage, Kanan T Desai, Brian Befano, Francisco García, L Rodney Long, Mark Schiffman, Sameer Antani
2021 Journal of Clinical Medicine  
The algorithm builds on the well-known RetinaNet architecture to derive a simpler and novel architecture in which the last convolutional layer is constructed by upsampling and concatenating specific RetinaNet  ...  Uterine cervical cancer is a leading cause of women's mortality worldwide. Cervical tissue ablation is an effective surgical excision of high grade lesions that are determined to be precancerous.  ...  Institutional Review Board Statement: Collection and use of the visual images were approved by the Costa Rican and National Cancer Institute's (NCI) ethical committees.  ... 
doi:10.3390/jcm10050953 pmid:33804469 pmcid:PMC7957626 fatcat:3neusqbl3zg7jlin25pagrytra

Progress of Artificial Intelligence in Gynecological Malignant Tumors

Jie Zhou, Zhi Ying Zeng, Li Li
2020 Cancer Management and Research  
In the last five years, the application of AI in medical research has become a hot topic in modern science and technology.  ...  The purpose of this paper is to describe the progress of AI in gynecological malignant tumors and discuss some problems in its application.  ...  The automatic detection and segmentation of abnormal areas in cervical image play a vital role in the diagnosis of cervical lesions.  ... 
doi:10.2147/cmar.s279990 pmid:33364831 pmcid:PMC7751777 fatcat:iax7foum7ndcxgylvs3wd73q6a

2020 Index IEEE Journal of Biomedical and Health Informatics Vol. 24

2020 IEEE journal of biomedical and health informatics  
, Ballistocardiography Can Estimate Beat-to-Beat Heart Rate Accurately at Night in Patients After Vascular Intervention; JBHI Aug. 2020 2230-2237 Hoogi, A., Mishra, A., Gimenez, F., Dong, J., and Rubin  ...  ., A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning; JBHI May 2020 1296-1309 Herskovic, V., see Saint-Pierre, C., JBHI Jan  ...  ., +, JBHI Feb. 2020 626-633 Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms.  ... 
doi:10.1109/jbhi.2020.3048808 fatcat:iifrkwtzazdmboabdqii7x5ukm

Ensemble of CNN classifiers using Sugeno Fuzzy Integral Technique for Cervical Cytology Image Classification [article]

Rohit Kundu, Hritam Basak, Akhil Koilada, Soham Chattopadhyay, Sukanta Chakraborty, Nibaran Das
2021 arXiv   pre-print
To aid the pathologists in efficient and reliable detection, in this paper, we propose a fully automated computer-aided diagnosis tool for classifying single-cell and slide images of cervical cancer.  ...  Cervical cancer is the fourth most common category of cancer, affecting more than 500,000 women annually, owing to the slow detection procedure.  ...  Graph convolution networks (GCN) and attention-gated networks have also shown promising performance in several domains, which engenders our interest to experiment with fuzzy fusion-based methods on these  ... 
arXiv:2108.09460v1 fatcat:oxx3qim3sjg5ro42x42od5pl6e

A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development

Shiliang Ai, Chen Li, Xiaoyan Li, Tao Jiang, Marcin Grzegorzek, Changhao Sun, Md Mamunur Rahaman, Jinghua Zhang, Yudong Yao, Hong Li, Yong Xia
2021 BioMed Research International  
Gastric cancer is a common and deadly cancer in the world.  ...  The histopathological images of gastric cancer contain sufficient characterization information, which plays a crucial role in the diagnosis and treatment of gastric cancer.  ...  We acknowledge the financial support from the National Natural Science Foundation of China (No. 61806047), the Fundamental Research Funds for the Central Universities (No.  ... 
doi:10.1155/2021/6671417 pmid:34258279 pmcid:PMC8257332 fatcat:nmcxblueazblvbd6753cmtqpgm

New Innovative Technologies Changing Cytology. 19th International Congress of Cytology. Yokohama, Japan, May 29-June 1, 2016: Abstracts

2016 Acta Cytologica  
During the past decade in Thailand, cytology services had played a major role in the prevention and management of two leading cancers in women i.e. cervical and breast cancers.  ...  of IHC markers on cell blocks in the last 5 years.  ...  The new evidence in this study indicated that a change for management of women with abnormal cervical cancer screening tests especially diagnosed as ASC-H may be needed.  ... 
doi:10.1159/000446388 pmid:27226043 fatcat:xyvfetmpjjczlnkckr3bn3fh5q

The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer

Betul Ilhan, Pelin Guneri, Petra Wilder-Smith
2021 Oral Oncology  
Early detection and prompt treatment offer the best outcomes to patients, yet the majority of OC lesions are detected at late stages with 45% survival rate for 2 years.  ...  cancer detection.  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1016/j.oraloncology.2021.105254 pmid:33711582 pmcid:PMC8144066 fatcat:v63vqg3k3vfppjqw6ndmj4qdfq

On the use of ECG and EMG Signals for Question Difficulty Level Prediction in the Context of Intelligent Tutoring Systems

Fehaid Alqahtani, Stamos Katsigiannis, Naeem Ramzan
2019 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)  
Manikis, Nikolaos Kartalis, Nikolaos Papanikolaou and Panagiotis Tsakalides A Temporal Convolution Network Solution for EEG Motor Imagery Classification Impedance between Micro- electrodes of a  ...  Filipovic Importance of Feature Weighing in Cervical Cancer Subtypes Identification Madhumita Singh and Sushmita Paul Analyzing Leukocyte Migration Trajectories by Deformable Image Matching  ... 
doi:10.1109/bibe.2019.00077 dblp:conf/bibe/AlqahtaniKR19 fatcat:h3o7hgpttzgfldy5ewkxzysejm

Review on Computer Vision in Gastric Cancer: Potential Efficient Tools for Diagnosis [article]

Yihua Sun
2020 arXiv   pre-print
Rapid diagnosis of gastric cancer is a great challenge for clinical doctors.  ...  Application of those methods will greatly reduce the labor and time consumption for the diagnosis of gastric cancers.  ...  The automated cell detection method developed in the previous study [43] was used to detect the cells in a frame in the video.  ... 
arXiv:2005.09459v2 fatcat:sgvgxtw4eze7tntymco4hiydz4

The First Moments of Medical Image Perception [chapter]

Jeremy M. Wolfe, Karla K. Evans, Trafton Drew
2018 The Handbook of Medical Image Perception and Techniques  
In a similar experiment, cytologists were shown Pap smear images from cervical cancer screening for brief periods.  ...  Gist in General This chapter has focused on a global gist signal in mammography (with a brief mention of a similar signal in chest radiographs and cervical cancer screening).  ... 
doi:10.1017/9781108163781.012 fatcat:kfkfiicupbc4znw4lz7qlhfnxa

Deep Learning in Image Cytometry: A Review

Anindya Gupta, Philip J. Harrison, Håkan Wieslander, Nicolas Pielawski, Kimmo Kartasalo, Gabriele Partel, Leslie Solorzano, Amit Suveer, Anna H. Klemm, Ola Spjuth, Ida‐Maria Sintorn, Carolina Wählby
2018 Cytometry Part A  
We do not provide a full manual for applying these methods to your own data, but rather review previously published articles on deep learning in image cytometry, and guide the readers toward further reading  ...  Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media.  ...  ACKNOWLEDGMENTS This project was financially supported by the Swedish Foundation for Strategic Research (grants BD15-0008 and SB16-0046), the European Research Council (grant ERC-2015-CoG 682810), and  ... 
doi:10.1002/cyto.a.23701 pmid:30565841 pmcid:PMC6590257 fatcat:dszbcsfncrhxnazsxopjkbe3ju
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