Improving Histopathological Image Segmentation and Classification using Graph Convolution Network

Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition ◽

10.1145/3373509.3373579 ◽

2019 ◽

Author(s):

Haili Ye ◽

Da-Han Wang ◽

Jianmin Li ◽

Shunzhi Zhu ◽

Chenyan Zhu

Keyword(s):

Image Segmentation ◽

Histopathological Image

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Weakly Supervised Domain Adaptation with Point Supervision in Histopathological Image Segmentation

Communications in Computer and Information Science - Pattern Recognition ◽

10.1007/978-981-15-3651-9_12 ◽

2020 ◽

pp. 127-140

Author(s):

Shun Obikane ◽

Yoshimitsu Aoki

Keyword(s):

Image Segmentation ◽

Domain Adaptation ◽

Histopathological Image ◽

Weakly Supervised

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A Hybrid Method of Superpixel Segmentation Algorithm and Deep Learning Method in Histopathological Image Segmentation

2018 Innovations in Intelligent Systems and Applications (INISTA) ◽

10.1109/inista.2018.8466281 ◽

2018 ◽

Author(s):

Abdulkadir Albayrak ◽

Gokhan Bilgin

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Hybrid Method ◽

Segmentation Algorithm ◽

Learning Method ◽

Superpixel Segmentation ◽

Histopathological Image

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Review of Histopathological Image Segmentation via current Deep Learning Approaches

2018 4th International Conference on Computing Communication and Automation (ICCCA) ◽

10.1109/ccaa.2018.8777616 ◽

2018 ◽

Author(s):

Manju Dabass ◽

Rekha Vig ◽

Sharda Vashisth

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Learning Approaches ◽

Histopathological Image

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Multistage histopathological image segmentation of Iba1-stained murine microglias in a focal ischemia model: Methodological workflow and expert validation

Journal of Neuroscience Methods ◽

10.1016/j.jneumeth.2012.12.017 ◽

2013 ◽

Vol 213 (2) ◽

pp. 250-262 ◽

Author(s):

Nektarios A. Valous ◽

Bernd Lahrmann ◽

Wei Zhou ◽

Roland Veltkamp ◽

Niels Grabe

Keyword(s):

Image Segmentation ◽

Focal Ischemia ◽

Histopathological Image ◽

Expert Validation

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Histopathological Image Segmentation Using U-Net Based Models

10.1109/tiptekno53239.2021.9632986 ◽

2021 ◽

Author(s):

Nuh Hatipoglu ◽

Gokhan Bilgin

Keyword(s):

Image Segmentation ◽

Histopathological Image

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A foreground marker based centroid initialized Geodesic active contours for histopathological image segmentation

2016 Second International Conference on Cognitive Computing and Information Processing (CCIP) ◽

10.1109/ccip.2016.7802859 ◽

2016 ◽

Author(s):

P M Shivamurthy ◽

T N Nagabhushan ◽

Vijaya Basavaraj

Keyword(s):

Image Segmentation ◽

Active Contours ◽

Geodesic Active Contours ◽

Histopathological Image

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Superpixel approach in high resolution histopathological image segmentation

2017 25th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2017.7960569 ◽

2017 ◽

Author(s):

Abdulkadir Albayrak ◽

Gokhan Bilgin

Keyword(s):

Image Segmentation ◽

High Resolution ◽

Histopathological Image

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Graph Run-Length Matrices for Histopathological Image Segmentation

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2010.2094200 ◽

2011 ◽

Vol 30 (3) ◽

pp. 721-732 ◽

Author(s):

Akif Burak Tosun ◽

Cigdem Gunduz-Demir

Keyword(s):

Image Segmentation ◽

Histopathological Image

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Fuzzy Local Information C-Means Algorithm for Histopathological Image Segmentation

2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT) ◽

10.1109/ebbt.2019.8742034 ◽

2019 ◽

Author(s):

Mustafa Cetin ◽

Zumray Dokur ◽

Tamer Olmez

Keyword(s):

Image Segmentation ◽

Local Information ◽

Histopathological Image

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Noise-tolerant deep learning for histopathological image segmentation

2017 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2017.8296848 ◽

2017 ◽

Author(s):

Weizhi Li ◽

Xiaoning Qian ◽

Jim Ji

Keyword(s):

Image Segmentation ◽

Deep Learning ◽

Histopathological Image ◽

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