Deep Learning-Based Nuclei Segmentation of Cleared Brain Tissue

被引：0

作者：

Khorrami, Pooya ^{[1
]}

Brady, Kevin ^{[1
]}

Hernandez, Mark ^{[1
]}

Gjesteby, Lars ^{[1
]}

Burke, Sara N. ^{[2
]}

Lamb, Damon G. ^{[2
]}

Melton, Matthew A. ^{[2
]}

Otto, Kevin J. ^{[2
]}

Brattain, Laura J. ^{[1
]}

机构：

[1] MIT, Lincoln Lab, 244 Wood St, Lexington, MA 02173 USA

[2] Univ Florida, Gainesville, FL 32611 USA

来源：

2019 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE (HPEC) | 2019年

关键词：

deep learning; low resource; neuron segmentation; transfer learning;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present a deep learning approach for nuclei segmentation at scale. Our algorithm aims to address the challenge of segmentation in dense scenes with limited annotated data available. Annotation in this domain is highly manual in nature, requiring time-consuming markup of the neuron and extensive expertise, and often results in errors. For these reasons, the approach under consideration employs methods adopted from transfer learning. This approach can also be extended to segment other components of the neurons.

引用

页数：2

共 50 条

[21] Deep learning-based classification and segmentation for scalpels
Su, Baiquan
Zhang, Qingqian
Gong, Yi
Xiu, Wei
Gao, Yang
Xu, Lixin
Li, Han
Wang, Zehao
Yu, Shi
Hu, Yida David
Yao, Wei
Wang, Junchen
Li, Changsheng
Tang, Jie
Gao, Li
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2023, 18 (05) : 855 - 864
[22] Deep Learning-Based Liver Vessel Segmentation
Hille, Georg
Jahangir, Tameem
Hürtgen, Janine
Kreher, Rober
Saalfeld, Sylvia
Current Directions in Biomedical Engineering, 2024, 10 (01) : 29 - 32
[23] Deep learning-based segmentation for disease identification
Mzoughi, Olfa
Yahiaoui, Itheri
ECOLOGICAL INFORMATICS, 2023, 75
[24] A survey on deep learning-based panoptic segmentation
Li, Xinye
Chen, Ding
DIGITAL SIGNAL PROCESSING, 2022, 120
[25] Deep Learning-Based Instance Segmentation of Neural Progenitor Cell Nuclei in Fluorescence Microscopy Images
Perez, Gabriel
Cecilia Russo, Claudia
Laura Palumbo, Maria
David Moroni, Alejandro
CLOUD COMPUTING, BIG DATA AND EMERGING TOPICS, JCC-BD&ET 2024, 2025, 2189 : 17 - 29
[26] aiSEGcell: User-friendly deep learning-based segmentation of nuclei in transmitted light images
Schirmacher, Daniel
Armagan, Ummunur
Zhang, Yang
Kull, Tobias
Auler, Markus
Schroeder, Timm
PLOS COMPUTATIONAL BIOLOGY, 2024, 20 (08)
[27] Deep Learning-Based HCNN and CRF-RRNN Model for Brain Tumor Segmentation
Deng, Wu
Shi, Qinke
Wang, Miye
Zheng, Bing
Ning, Ning
IEEE ACCESS, 2020, 8 : 26665 - 26675
[28] A review of recent progress in deep learning-based methods for MRI brain tumor segmentation
Chihati, Sarah
Gaceb, Djamel
2020 11TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS), 2020, : 149 - 154
[29] Deep learning-based brain tumor segmentation on limited sequences of magnetic resonance imaging
Huang, Jacky
Molleti, Powell
Iv, Michael
Lee, Richard
Itakura, Haruka
JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (16)
[30] A survey of MRI-based brain tissue segmentation using deep learning
Wu, Liang
Wang, Shirui
Liu, Jun
Hou, Lixia
Li, Na
Su, Fei
Yang, Xi
Lu, Weizhao
Qiu, Jianfeng
Zhang, Ming
Song, Li
COMPLEX & INTELLIGENT SYSTEMS, 2025, 11 (01)

← 1 2 3 4 5 →