ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets

[1]  P. Bushel,et al.  Mitochondrial-nuclear epistasis underlying phenotypic variation in breast cancer pathology , 2022, Scientific Reports.

[2]  B. Raza,et al.  DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images , 2022, Comput. Biol. Medicine.

[3]  F. Piccinini,et al.  Nucleus segmentation: towards automated solutions. , 2022, Trends in cell biology.

[4]  Guotai Wang,et al.  Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer , 2021, MIDL.

[5]  Xirong Li,et al.  GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection , 2021, Pattern Recognit..

[6]  Ziyuan Zhao,et al.  MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels , 2022, MICCAI.

[7]  Lisheng Wang,et al.  MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge , 2021, IEEE Transactions on Medical Imaging.

[8]  Jayender Jagadeesan,et al.  Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation , 2021, MICCAI.

[9]  Yuhui Yuan,et al.  Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[10]  Dinggang Shen,et al.  CA2.5-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection , 2021, MICCAI.

[11]  Lei Jin,et al.  Partially-Supervised Learning for Vessel Segmentation in Ocular Images , 2021, MICCAI.

[12]  Christoph Reich,et al.  Attention-Based Transformers for Instance Segmentation of Cells in Microstructures , 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

[13]  Allan Hanbury,et al.  An annotated fluorescence image dataset for training nuclear segmentation methods , 2020, Scientific Data.

[14]  Zhibin Liao,et al.  Pairwise Relation Learning for Semi-supervised Gland Segmentation , 2020, MICCAI.

[15]  Lequan Yu,et al.  Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation , 2020, MICCAI.

[16]  Hao Chen,et al.  A Multi-Organ Nucleus Segmentation Challenge , 2020, IEEE Transactions on Medical Imaging.

[17]  Anne E Carpenter,et al.  Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl , 2019, Nature Methods.

[18]  Hao Chen,et al.  IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation , 2019, MICCAI.

[19]  Zhiqiang Hu,et al.  Signet Ring Cell Detection with a Semi-supervised Learning Framework , 2019, IPMI.

[20]  Dimitris N. Metaxas,et al.  Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images , 2019, MIDL.

[21]  Thomas Walter,et al.  Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map , 2019, IEEE Transactions on Medical Imaging.

[22]  Jin Tae Kwak,et al.  Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images , 2018, Medical Image Anal..

[23]  David B. A. Epstein,et al.  Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features , 2018, Medical Image Anal..

[24]  Klaus H. Maier-Hein,et al.  Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation , 2019, Bildverarbeitung für die Medizin.

[25]  Heng Huang,et al.  Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis , 2018, MICCAI.

[26]  Vijayan K. Asari,et al.  Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net) , 2018, NAECON 2018 - IEEE National Aerospace and Electronics Conference.

[27]  Lukasz Kaiser,et al.  Attention is All you Need , 2017, NIPS.

[28]  Cris L. Luengo Hendriks,et al.  The Gold Standard Paradox in Digital Image Analysis: Manual Versus Automated Scoring as Ground Truth. , 2017, Archives of pathology & laboratory medicine.

[29]  Surabhi Bhargava,et al.  A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology , 2017, IEEE Transactions on Medical Imaging.

[30]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[31]  Xudong Jiang,et al.  Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images , 2017, IEEE Trans. Medical Imaging.

[32]  Lin Yang,et al.  An Automatic Learning-Based Framework for Robust Nucleus Segmentation , 2016, IEEE Transactions on Medical Imaging.

[33]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[34]  N. Navin,et al.  Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing , 2014, Nature.

[35]  Mrinal K. Mandal,et al.  An Efficient Technique for Nuclei Segmentation Based on Ellipse Descriptor Analysis and Improved Seed Detection Algorithm , 2014, IEEE Journal of Biomedical and Health Informatics.

[36]  H. Irshad,et al.  Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential , 2014, IEEE Reviews in Biomedical Engineering.

[37]  Aymen Mouelhi,et al.  Author's Personal Copy Biomedical Signal Processing and Control Automatic Image Segmentation of Nuclear Stained Breast Tissue Sections Using Color Active Contour Model and an Improved Watershed Method , 2022 .

[38]  J P Vink,et al.  Efficient nucleus detector in histopathology images , 2013, Journal of microscopy.

[39]  Francis R. Bach,et al.  Learning with Submodular Functions: A Convex Optimization Perspective , 2011, Found. Trends Mach. Learn..

[40]  Erik H. W. Meijering,et al.  Cell Segmentation: 50 Years Down the Road [Life Sciences] , 2012, IEEE Signal Processing Magazine.

[41]  Lin Yang,et al.  Robust Segmentation of Overlapping Cells in Histopathology Specimens Using Parallel Seed Detection and Repulsive Level Set , 2012, IEEE Transactions on Biomedical Engineering.

[42]  Christophoros Nikou,et al.  Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering , 2011, IEEE Transactions on Information Technology in Biomedicine.

[43]  F. Cloppet,et al.  Segmentation of overlapping/aggregating nuclei cells in biological images , 2008, 2008 19th International Conference on Pattern Recognition.

[44]  Anne E Carpenter,et al.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes , 2006, Genome Biology.

[45]  Scott T. Acton,et al.  Level set analysis for leukocyte detection and tracking , 2004, IEEE Transactions on Image Processing.

[46]  Kenong Wu,et al.  Live cell image segmentation , 1995, IEEE Transactions on Biomedical Engineering.

[47]  László Lovász,et al.  Submodular functions and convexity , 1982, ISMP.

[48]  N. Otsu A threshold selection method from gray level histograms , 1979 .