Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

Cited by (675)

Items 601–675 of 675

1. Multi-variate image analysis for detection of biomedical anomalies
   Shan E Ahmed Raza · 2026 · Warwick Research Archive Portal (University of Warwick)
2. Comparison of the spatial organization in colorectal tumors using second-order statistics and functional ANOVA
   Maya Alsheh Ali, Johanne Séguin, Aurélie Fischer, Nathalie Mignet, Laurent Wendling, Thomas Hurtut · 2013 · International symposium on image and signal processing and analysis/ISPA ...
3. TissueWikiMobile: An integrative protein expression image browser for pathological knowledge sharing and annotation on a mobile device
   Chih‐Wen Cheng, Todd H. Stokes, Sovandy Hang, May Dongmei Wang · 2010 · IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
4. Quantitative Analyse von Zell- und Gewebeeigenschaften in histologischen Bilddaten
   Stephan Wienert · 2015 · Universitätsbibliothek der FU Berlin Hochschulschriftenstelle u. Dokumentenserver
5. Nerve Fiber Segmentation from Microscopic Cross Sections Based on Spatially Constrained Registration Strategy
   Hsin-Chen Chen, Yiying Wang, Chou‐Ching K. Lin, Yung‐Nien Sun · 2013
6. ( Registration of microscopic images and its uses in segmentation and annotation ) 3-D Registration of Biological Images and Models
   Lei Qu, Fuhui Long, Hanchuan Peng · 2015
7. Advances in Discovery of Complex Biomarkers for Colorectal Cancer Using Multiplexed Proteomics Imaging
   Violeta N. Kovacheva, D. B. A. Epstein, Nasir Rajpoot · 2014
8. Integrated 5-D Cell Tracking and Linked Analytics in the FARSIGHT Open Source Toolkit
   Amine Merouane, Arunachalam Narayanaswamy, Badrinath Roysam · 2015 · Computational biology
9. Perceptual watersheds for cell segmentation in fluorescence microscopy images
   Salim Arslan · 2012 · Bilkent University Institutional Repository (Bilkent University)
10. Cancer Image Analysis
    Constantino Carlos Reyes‐Aldasoro · 2013 · City Research Online (City University London)
11. Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations
    Hai Su · 2014 · UKnowledge (University of Kentucky)
12. Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme
    Hang Chang, Ju Han, Gerald Fontenay, Cemal Cagatay Bilgin, Nandita M. Nayak, Alexander Borowski, Paul T. Spellman, Bahram Parvin · 2013 · Elsevier eBooks
13. of maximum common subgraphs
    Jochen Kursawe, Jeremiah J. Zartman, Ruth E. Baker, Glenn L. Alexander · 2016
14. Computational cell quantification in the human brain tissues based on hard x-ray phase-contrast tomograms
    Simone Elke Hieber, Christos Bikis, Anna Khimchenko, G. V. Schulz, Hans Deyhle, Peter Thalmann, Natalia Chicherova, Alexander Rack, Marie‐Christine Zdora, Irène Zanette et al. · 2016 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
15. Automated Quantitative and Qualitative Analysis of Neuroblastoma Cancer Tissue
    Siamak Tafavogh · 2014 · UTS ePRESS (University of Technology Sydney)
16. A generalized method for automatic segmentation of neighboring cells
    Zhenzhou Wang · 2015 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
17. Mapping behaviourally induced immediate-early gene expression along the septotemporal axis of CA1
    Sutherland Theresa Ann Dube · 2016
18. Robust segmentation, shape fitting and morphology computation of high-throughput cell nuclei
    Jie Song, Liang Xiao, Zhichao Lian · 2017 · Journal of Shanghai Jiaotong University (Science)
19. Design and Implementation for Massively Parallel Automated Localization of Neurons for Brain Circuits
    Dan Zou, Hong Ye, Min Zhu, Xiaoqian Zhu, Liangyuan Zhou, Fei Xia, Lina Lu · 2017 · Advances in intelligent systems and computing
20. Nuclear Segmentation of Glioblastoma Multiforme Cells by Multireference Level Set
    O Rujuta, Vyavahare AJ · 2017 · Journal of Bioengineering and Biomedical Sciences
21. Nuclear Morphometry based Pattern Recognition in Pathology
    Chi Liu · 2017 · KiltHub Repository
22. Detection of Neurons on Images of the Histological Slices Using Convolutional Neural Network
    Фомин Иван Сергеевич, Viktor Mikhailov, Бахшиев Александр Валерьевич, Natalia S. Merkulyeva, Aleksandr A. Veshchitskii, Мусиенко Павел Евгеньевич · 2017 · Studies in computational intelligence
23. Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection
    Sonal Kothari Phan, Ryan Hoffman, May Dongmei Wang · 2017 · Health information science
24. CELL SEGMENTATION IN CANCER HISTOPATHOLOGY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
    Viswanathan Kavassery Rajalingam · 2016 · UTA ResearchCommons (University of Texas Arlington)
25. A Parfocality Measurement Method of a Continuous Zoom Stereo Microscope
    Yigang Wang, Gangyi Jiang, Mei Yu, Feng Shao, Yuan Wang · 2013 · International Journal on Smart Sensing and Intelligent Systems
26. Study on muscle remodeling using in vivo microscopy of drosophila metamorphosis and quantitative image analysis
    Kuleesha Kuleesha · 2018
27. Initiative For Thyroid Cancer Diagnosis: Decision Support System For Anaplast Thyroid Cancer
    Jamil Ahmed Chandio, M. Abdul Rehman Soomrani, Attaullah Sahito, Shafaq Siddiqui · 2017 · Sukkur IBA Journal of Computing and Mathematical Sciences
28. Automatic Image Analysis for Biomedical Research: Rapid Drug Susceptibility Testing and Investigation of Cell Specialization in Early Embryo
    Andrey Grushnikov · 2018 · Institutional Repositories DataBase (IRDB)
29. Development of a microfluidic platform for size-based enrichment and immunomagnetic isolation of circulating tumour cells
    Hadi Esmaeilsabzali · 2017 · Summit (Simon Fraser University)
30. Automated Identification of Breast Cancer from Low Resolution Microscopic Videos
    Jemy Ann Joseph, D. Justin David · 2018 · International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT)
31. Robust Automated detection of Nanocarriers’ Toxicity using Microscopic Image Analysis
    B. Saini, S. Srivastava, A Bajpai · 2018 · ICST Transactions on Scalable Information Systems
32. Quantitative MRI biomarker for treatment response assessment of multiple myeloma: robustness evaluation using independent test set of prospective cases
    Chuan Zhou, Qian Dong, Heang‐Ping Chan, Erica Leigh Campagnaro, Jun Wei, Lubomir M. Hadjiiski · 2019 · SPIE Medical Imaging: Computer-Aided Diagnosis
33. Homomorphically Rectified Tile-wise Equalized Adaptive Gamma Correction for Histopathological Color Image Enhancement
    Rangu Silpasai, Himanshu Singh, Anil Kumar, L. K. Balyan · 2018 · IEEE Conference on Information and Communication Technology (CICT)
34. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics
    Alexandr A. Kalinin · 2018 · Deep Blue (University of Michigan)
35. Deep multilevel contextual networks for biomedical image segmentation
    Hao Chen, Qi Dou, Xiaojuan Qi, Jie‐Zhi Cheng, Pheng‐Ann Heng · 2019 · Elsevier eBooks
36. A Preliminary Study of Transferring the Existing CNN Models for Small-Size Nuclei Recognition in Histopathology Images
    Seiya Fujita, Yoshiaki Ueda, Xian‐Hua Han · 2020 · Lecture notes in electrical engineering
37. Utilization of a 3D Suspension Culture System as a Model to Understand the Intrinsic Effect of Radiation Treatment on Salivary Glands
    Vicky T. Nguyen · 2018 · UA Campus Repository (The University of Arizona)
38. Combined Radiology and Pathology Based Classification of Tumor Types
    N. Ravitha Rajalakshmi, B.M. Sangeetha, R. Vidhyapriya, Nikhil Ramesh · 2020 · Studies in computational intelligence
39. Artificial intelligence for the study of colorectal cancer tissue slides
    Vincenzo Formica, Cristina Morelli, Silvia Riondino, Nicola Renzi, Daniele Nitti, Mario Roselli · 2020 · Artificial Intelligence in Gastroenterology
40. Context Augmentation Aggregation Network for Nuclei Segmentation
    Ruizhe Geng, Wenmin Wang · 2020
41. Automated Tracking of Mouse Embryogenesis from Large-scale Fluorescence Microscopy Data
    Congchao Wang · 2021 · VTechWorks (Virginia Tech)
42. ClusterMix K-Prototypes Algorithm to Capture Variable Characteristics of Patient Mortality With Heart Failure
    Raditya Novidianto, Hardianto Wibowo, Didih Rizki Chandranegara · 2021 · Kinetik Game Technology Information System Computer Network Computing Electronics and Control
43. Automated Segmentation of Nucleus And Cytoplasm of Cervical Cells From Pap-Smear Images Using A Quadtree Decomposition Approach.
    William Wasswa, Andrew Ware, Annabella Habinka Basaza‐Ejiri, Johnes Obungoloch · 2021 · Research Square
44. Robust Segmentation of Cell Nuclei in 3-D Microscopy Images
    Sundaresh Ram, Jeffrey J. Rodrı́guez · 2021 · arXiv (Cornell University)
45. Multi view registration of C.elegans embryo
    Bagheri, Fatemeh · 2021
46. Saliency-Based Deep Learning Framework for Histopathological Image Classification
    T P Ashna, Sreejith S · 2021 · SSRN Electronic Journal
47. Automated Segmentation of Nucleus and Cytoplasm of Cervical Cells from Pap-smear Images using A Quadtree Decomposition Approach
    William Wasswa, Andrew Ware, Annabella Habinka Basaza‐Ejiri, Johnes Obungoloch · 2021 · Research Square
48. Leveraging Deep Learning and Grab Cut for Automatic Segmentation of White Blood Cell Images
    Kazeem Oyeyemi Oyebode · 2022 · Journal of biomimetics, biomaterials and biomedical engineering
49. Analysis of Machine Learning Algorithms for Breast Cancer Detection
    Aswathy M. A., Mohan Jagannath · 2022 · IGI Global eBooks
50. Two- and Three-Dimensional Benchmarks for Particle Detection from an Industrial Rotary Kiln Combustion Chamber Based on Light-Field-Camera Recording
    Markus Vogelbacher, Miao Zhang, Krasimir Aleksandrov, Hans‐Joachim Gehrmann, Jörg Matthes · 2022 · Data
51. Soma Segmentation Using U-Shaped Convolutional Neural Networks with Weight Boundary Mechanism
    2023 · Journal of Research in Science and Engineering
52. Peer Review #1 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.2)"
    2023 · PeerJ Computer Science
53. Peer Review #1 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.1)"
    2023 · PeerJ Computer Science
54. Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.3)"
    2023 · PeerJ Computer Science
55. Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.2)"
    2023 · PeerJ Computer Science
56. Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.1)"
    2023 · PeerJ Computer Science
57. Automated Hematology: Blood Cells Detection and Classification Using Deep Learning Algorithms
    Aqib Raza Shah, Tahira Mahboob, Hira Yaseen, Muhammad Qasim Mehmood · 2023 · International Conference on Open Source Systems and Technologies (ICOSST)
58. Computer Vision‐based Edge Computing System to Detect Health Informatics for Oral Pre‐Cancer
    Rajdeep Chakraborty, Anupam Ghosh, Jyotsna Kumar Mandal, Tanupriya Choudhury, Prasenjit Chatterjee · 2024
59. Corneal Endothelial Cell Segmentation with Multiple Long-range Dependencies
    Lingxi Zeng, Yinglin Zhang, Risa Higashita, Jiang Liu · 2023 · International Conference on Biomedical and Bioinformatics Engineering (ICBBE)
60. Domain Generalization Across Multi-centre Digital Pathology Images for Lymph Node Segmentation and Classification
    Fariba Dambandkhameneh · 2024
61. Artificial intelligence methods for predictive image-based grading of human cancers
    Gerardo Fernández, Abishek Sainath Madduri, Bahram Marami, Marcel W. Prastawa, Richard Scott, Jack Zeineh, Michael Donovan · 2024 · Elsevier eBooks
62. A Fuzzified Euclidean Framework for Accurate Cervical Cancer Cell Segmentation and Nuclei Detection
    Lipsa Mishra, Sarita Nanda, Sashikant Mishra · 2024 · IEEE International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC)
63. Pathological Image Segmentation of Breast Cancer via Template Matching
    Kaixiang Yan, Yanyu Liu, Junjie Li, Jinde Cao, Dongming Zhou · 2025 · IEEE Journal of Biomedical and Health Informatics
64. Open-Set Active Learning for Nucleus Detection From the Histopathological Images
    Jiao Tang, Yagao Yue, Wei Chu, Mingliang Wang, Yulin Wang, Peng Wan, Andrey Serdjevich Krylov, Wei Shao, Daoqiang Zhang · 2025 · IEEE Transactions on Medical Imaging
65. Automatic Detection of Morphologically Distinct Objects in Biomedical Images Using Second Generation Wavelets and Multiple Marked Point Process
    Hiroshi Hatsuda · 2010 · Lecture notes in computer science
66. Etude de la morphologie et de la distribution des neurones dans le cerveau de macaque par microscopie optique
    Zhenzhen You · 2017 · theses.fr (ABES)
67. From cellular phenotypes to the analysis of whole slide images : Application to treatment response in triple-negative breast cancer
    Peter Naylor · 2019 · theses.fr (ABES)
68. Analysis and modelling of spatial organization of 3D tissues in biological images
    Hoa Tran thi nhu · 2018 · theses.fr (ABES)
69. Imaging of the fish embryo model and applications to toxicology
    Diane Genest · 2019 · theses.fr (ABES)
70. A General framework for Neuron Instance Segmentation based on Deep Learning
    Huaqian Wu · 2022 · theses.fr (ABES)
71. Deep Learning Approach for Semantic Segmentation of Pathological Images
    Yanbo Feng · 2022 · theses.fr (ABES)
72. Weak-to-strong generalization enables fully automated training of multi-head mask-RCNN model for segmenting densely overlapping cell nuclei in multiplex whole-slice brain images
    Lin Bai, Xiaoyang Li, Liqiang Huang, Quynh Nguyen, Hien Van Nguyen, Saurabh Prasad, Dragan Maric, John B. Redell, Pramod K. Dash, Badrinath Roysam · 2026 · Frontiers in Bioinformatics
73. BA-GUSL: Boundary-Aware Green U-Shaped Learning for Nuclei Segmentation
    Catherine A. Alexander, Vasileios Magoulianitis, Jiaxin Yang, C.‐C. Jay Kuo · 2026 · IEEE Conference on Technologies for Sustainability
74. Challenges and Practical Pathways for the Clinical Translation of Deep Learning-Based Nuclei Segmentation in Breast Histopathology
    Tianqi Lu · 2026 · Journal of medicine and health science.
75. Application of Machine Learning Methods for Processing and Analyzing Data from Probe and Optical Microscopy of Biological Objects
    T. O. Sergeeva, A. E. Efimov, Vladislav Goncharenko, В. А. Олейников, I. I. Agapov · 2026 · Russian Journal of Bioorganic Chemistry