Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model

Author:

Zhang Hongrun1,Burrows Liam2,Meng Yanda1,Sculthorpe Declan3,Mukherjee Abhik3,Coupland Sarah E4,Chen Ke2,Zheng Yalin1

Affiliation:

1. University of Liverpool,Department of Eye and Vision Science,Liverpool,UK

2. University of Liverpool,Department of Mathematical Sciences and Centre for Mathematical Imaging Techniques,Liverpool,UK

3. Biodiscovery Institute, School of Medicine, University of Nottingham,Nottingham,UK

4. Institute of Systems, Molecular and Integrative Biology, University of Liverpool,Liverpool,UK

Publisher

IEEE

Reference52 articles.

1. Application of deep learning models in the evaluation of histopathology of uveal melanoma;coupland;Global Perspectives in Ocular Oncology,2023

2. Self-similarity Student for Partial Label Histopathology Image Segmentation

3. Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images

4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;ArXiv Preprint,2020

5. Weakly Supervised Cell Segmentation by Point Annotation

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1. Self-Supervised Scribble-based Segmentation of Single Cells in Biofilms;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

2. Weakly Annotated Residential Area Segmentation Based on Attention Redistribution and Co-Learning;IEEE Geoscience and Remote Sensing Letters;2023

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