Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation

27 October 2019

Papers citing "Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation"

18 / 18 papers shown

Title
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss Berke Levent Cesur Ayse Humeyra Dur Karasayar Pinar Bulutay Nilgun Kapucuoglu Cisel Aydin Mericoz ... Javidan Osmanli Burhan Soner Yetkili Ibrahim Kulac C. Koyuncu Cigdem Demir 69 0 0 19 Dec 2024
Entropy Bootstrapping for Weakly Supervised Nuclei Detection James Willoughby Irina Voiculescu UQCV 71 0 0 20 Nov 2024
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels Yi-Mou Lin Zeyu Wang Dong-Ming Zhang Kwang-Ting Cheng Hao Chen 42 7 0 15 Jan 2024
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images Nazanin Moradinasab Rebecca A. Deaton Laura S. Shankman Gary K. Owens Donald E. Brown MedIm 11 1 0 07 Sep 2023
Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing Ji Yu 19 5 0 20 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 30 50 0 13 Apr 2023
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology Shahira Abousamra Rajarsi R. Gupta Tahsin M. Kurc Dimitris Samaras Joel H. Saltz Chao Chen MedIm 20 7 0 05 Apr 2023
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images Pingyi Chen Chenglu Zhu Zhongyi Shui Jiatong Cai S. Zheng Shichuan Zhang L. Yang 16 4 0 14 Oct 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images Nazanin Moradinasab Yash Sharma Laura S. Shankman Gary K. Owens Donald E. Brown 16 1 0 29 Jul 2022
End-to-end cell recognition by point annotation Zhongyi Shui Shichuan Zhang Chenglu Zhu Bingchuan Wang Pingyi Chen S. Zheng Lin Yang 15 10 0 01 Jul 2022
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference Yang Liu Ersi Zhang Lulu Xu Chufan Xiao Xiao-Yu Zhong ... Ming Xu Yongbing Zhang Dongmei Yu C. Yan Peiwu Qin 11 20 0 06 May 2022
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images Shichuan Zhang Chenglu Zhu Honglin Li Jiatong Cai Lin Yang 20 8 0 27 Feb 2022
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing Huaqian Wu N. Souedet C. Jan Cédric Clouchoux T. Delzescaux 8 15 0 17 Feb 2022
Nuclei Segmentation with Point Annotations from Pathology Images via Self-Supervised Learning and Co-Training Yi Lin Z. Qu Hao Chen Zhongke Gao Yuexiang Li Lili Xia Kai Ma Yefeng Zheng Kwang-Ting Cheng 16 25 0 16 Feb 2022
Weakly Supervised Nuclei Segmentation via Instance Learning Weizhen Liu Qian He Xuming He 21 17 0 03 Feb 2022
Multi-Class Cell Detection Using Spatial Context Representation Shahira Abousamra David Belinsky John S. Van Arnam F. Allard E. Yee Rajarsi R. Gupta Tahsin M. Kurc Dimitris Samaras Joel H. Saltz Chao Chen 27 32 0 10 Oct 2021
Split and Expand: An inference-time improvement for Weakly Supervised Cell Instance Segmentation Lin Geng Foo Rui En Ho Jiamei Sun Alexander Binder 13 0 0 21 Jul 2020
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images Navid Alemi Koohbanani Mostafa Jahanifar Neda Zamani Tajadin Nasir M. Rajpoot 19 121 0 29 May 2020