Comparing U-Net convolutional network with mask R-CNN in Nuclei Segmentation

被引：1

作者：

Zanaty, E. A. ^{[1
]}

Abdel-Aty, Mahmoud M. ^{[1
]}

Ali, Khalid Abdel-wahab ^{[1
]}

机构：

[1] Sohag Univ, Math & Comp Sci Dept, Fac Sci, Sohag, Egypt

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2022年 / 22卷 / 03期

关键词：

U-Net; Mask R-CNN; Nuclei Segmentation;

D O I：

10.22937/IJCSNS.2022.22.3.35

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Deep Learning is used nowadays in Nuclei segmentation. While recent developments in theory and open-source software have made these tools easier to implement, expert knowledge is still required to choose the exemplary model architecture and training setup. We compare two popular segmentation frameworks, U-Net and Mask-RCNN, in the nuclei segmentation task and find that they have different strengths and failures. we compared both models aiming for the best nuclei segmentation performance. Experimental Results of Nuclei Medical Images Segmentation using U-NET algorithm Outperform Mask R-CNN Algorithm.

引用

页码：273 / 275

页数：3

共 50 条

[1] Comparing U-Net Convolutional Network with Mask R-CNN in the Performances of Pomegranate Tree Canopy
Zhao, Tiebiao
Yang, Yonghuan
Niu, Haoyu
Wang, Dong
Chen, YangQuan
MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS VII, 2018, 10780
[2] Nuclei R-CNN: Improve Mask R-CNN for Nuclei Segmentation
Lv, Guofeng
Wen, Ke
Wu, Zheng
Jin, Xu
An, Hong
He, Jie
2019 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SIGNAL PROCESSING (ICICSP), 2019, : 357 - 362
[3] Instance segmentation of neuronal cells using U-Net, mask R-CNN, and Detectron2
Murugesan, Ramasamy
Adethya, T. Gokul
Ventesh, A.
Azhaganathan, B.
Domnic, P. D. D.
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2024, 45 (02) : 129 - 149
[4] Comparison of Multi-Label U-Net and Mask R-CNN for panoramic radiograph segmentation to detect periodontitis
Widyaningrum, Rini
Candradewi, Ika
Aji, Nur Rahman Ahmad Seno
Aulianisa, Rona
IMAGING SCIENCE IN DENTISTRY, 2022, 52 (04) : 383 - 391
[5] MASK-RCNN AND U-NET ENSEMBLED FOR NUCLEI SEGMENTATION
Vuola, Aarno Oskar
Akram, Saad Ullah
Kannala, Juho
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019), 2019, : 208 - 212
[6] An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation
Cui, Hengfei
Wang, Yifan
Li, Yan
Xu, Di
Jiang, Lei
Xia, Yong
Zhang, Yanning
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 27 (07) : 3408 - 3419
[7] Apricot Tree Detection from UAV-Images Using Mask R-CNN and U-Net
Erdem, Firat
Ocer, Nuri Erkin
Matci, Dilek Kucuk
Kaplan, Gordana
Avdan, Ugur
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2023, 89 (02): : 89 - 96
[8] An Efficient and Optimal Deep Learning Architecture using Custom U-Net and Mask R-CNN Models for Kidney Tumor Semantic Segmentation
Parvathi, Sitanaboina S. L.
Jonnadula, Harikiran
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (06) : 314 - 320
[9] Nuclei Segmentation with Recurrent Residual Convolutional Neural Networks based U-Net (R2U-Net)
Alom, Md Zahangir
Yakopcic, Chris
Taha, Tarek M.
Asari, Vijayan K.
NAECON 2018 - IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE, 2018, : 228 - 233
[10] SE-Mask R-CNN: An improved Mask R-CNN for apple detection and segmentation
Liu, Yikun
Yang, Gongping
Huang, Yuwen
Yin, Yilong
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (06) : 6715 - 6725

← 1 2 3 4 5 →