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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

IEEE transactions on medical imaging, 2020-06, Vol.39 (6), p.1856-1867

2020

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PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets

Computers in biology and medicine, 2024-01, Vol.168, p.107823-107823, Article 107823

2024

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Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs

International journal of interactive multimedia and artificial intelligence, 2021-06, Vol.6 (6), p.35-45

2021

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Prosody-based Spoken Algerian Arabic Dialect Identification

Procedia computer science, 2018, Vol.128, p.9-17

2018

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Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

IEEE transactions on medical imaging, 2020-11, Vol.39 (11), p.3257-3267

2020

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Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.448-459

2019

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Nuclei Instance Segmentation in Colon Histology Images with YOLOv7

Advanced Engineering, Technology and Applications, 2024, Vol.1983, p.335-343

2024

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Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

IEEE transactions on medical imaging, 2020-11, Vol.39 (11), p.3655-3666

2020

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Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation

Medical image analysis, 2020-10, Vol.65, p.101786-101786, Article 101786

2020

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Automatic cell nuclei segmentation and classification of breast cancer histopathology images

Signal processing, 2016-05, Vol.122, p.1-13

2016

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Microscopy cell nuclei segmentation with enhanced U-Net

BMC bioinformatics, 2020-01, Vol.21 (1), p.8-8, Article 8

Long, Feixiao

2020

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Contrastive and uncertainty-aware nuclei segmentation and classification

Computers in biology and medicine, 2024-08, Vol.178, p.108667, Article 108667

2024

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Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review-Current Status and Future Potential

IEEE reviews in biomedical engineering, 2014, Vol.7, p.97-114

2014

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Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images

Microscopy, 2019-06, Vol.68 (3), p.216-233

2019

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Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

Neurocomputing (Amsterdam), 2017-03, Vol.229, p.88-99

2017

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NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images

Computers in biology and medicine, 2021-01, Vol.128, p.104075-104075, Article 104075

2021

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DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images

Computers in biology and medicine, 2022-04, Vol.143, p.105267-105267, Article 105267

2022

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RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images

IEEE access, 2019, Vol.7, p.21420-21428

2019

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SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images

IEEE journal of biomedical and health informatics, 2022-07, Vol.26 (7), p.3218-3228

2022

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Mask-RCNN and U-Net Ensembled for Nuclei Segmentation

2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019, p.208-212

2019

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Lightweight SDE-Net Fusing Model-Based and Learned Features for Computational Histopathology

IEEE journal of selected topics in signal processing, 2024-09, p.1-16

2024

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A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7458-7477

2024

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A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images

Medical & biological engineering & computing, 2019-09, Vol.57 (9), p.2027-2043

2019

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Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement

Neurocomputing (Amsterdam), 2020-09, Vol.408, p.144-156

2020

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Effect of learning parameters on the performance of the U-Net architecture for cell nuclei segmentation from microscopic cell images

Microscopy, 2023-06, Vol.72 (3), p.249-264

2023

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UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs

Prosody-based Spoken Algerian Arabic Dialect Identification

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map

Nuclei Instance Segmentation in Colon Histology Images with YOLOv7

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images

Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation

Automatic cell nuclei segmentation and classification of breast cancer histopathology images

Microscopy cell nuclei segmentation with enhanced U-Net

Contrastive and uncertainty-aware nuclei segmentation and classification

Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review-Current Status and Future Potential

Transfer learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images

Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks

NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images

DenseRes-Unet: Segmentation of overlapped/clustered nuclei from multi organ histopathology images

RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images

SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images

Mask-RCNN and U-Net Ensembled for Nuclei Segmentation

Lightweight SDE-Net Fusing Model-Based and Learned Features for Computational Histopathology

A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images

Robust nuclei segmentation in histopathology using ASPPU-Net and boundary refinement

Effect of learning parameters on the performance of the U-Net architecture for cell nuclei segmentation from microscopic cell images

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