A self-catalytic colorimetric visualization assay for cancer cell detection

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2014.05.116 ◽

2014 ◽

Vol 202 ◽

pp. 1237-1242

Author(s):

Mohammed Bhuiyan ◽

Hailong Xia ◽

Jacob Rotmensch ◽

Liaohai Chen

Keyword(s):

Cancer Cell ◽

Cell Detection ◽

Colorimetric Visualization ◽

Cancer Cell Detection

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An Improved Faster R-CNN for Colorectal Cancer Cell Detection

2020 IEEE 3rd International Conference on Electronics and Communication Engineering (ICECE) ◽

10.1109/icece51594.2020.9353044 ◽

2020 ◽

Author(s):

Yang Yu ◽

Qun Yang ◽

Liu Shaohan

Keyword(s):

Colorectal Cancer ◽

Cancer Cell ◽

Colorectal Cancer Cell ◽

Cell Detection ◽

Cancer Cell Detection

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Diagnosis Using Data Mining Algorithms for Malignant Breast Cancer Cell Detection

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) ◽

10.1109/iceca49313.2020.9297481 ◽

2020 ◽

Author(s):

S. Saranya ◽

S. Sasikala

Keyword(s):

Breast Cancer ◽

Data Mining ◽

Cancer Cell ◽

Breast Cancer Cell ◽

Cell Detection ◽

Data Mining Algorithms ◽

Malignant Breast ◽

Cancer Cell Detection ◽

Mining Algorithms

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Incorporating Graphene Oxide and Gold Nanoclusters: A Synergistic Catalyst with Surprisingly High Peroxidase-Like Activity Over a Broad pH Range and its Application for Cancer Cell Detection

Advanced Materials ◽

10.1002/adma.201204419 ◽

2013 ◽

Vol 25 (18) ◽

pp. 2594-2599 ◽

Author(s):

Yu Tao ◽

Youhui Lin ◽

Zhenzhen Huang ◽

Jinsong Ren ◽

Xiaogang Qu

Keyword(s):

Graphene Oxide ◽

Cancer Cell ◽

Gold Nanoclusters ◽

Cell Detection ◽

Ph Range ◽

Cancer Cell Detection

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Cervical Cancer Cell Detection Based on Multi-Scale Feature Fusion

SSRN Electronic Journal ◽

10.2139/ssrn.3883210 ◽

2021 ◽

Author(s):

Wei Wang ◽

Xiaoxuan Zhang ◽

Yang Xu ◽

Shifeng Zhao ◽

Yun Tian

Keyword(s):

Cervical Cancer ◽

Cancer Cell ◽

Feature Fusion ◽

Cervical Cancer Cell ◽

Cell Detection ◽

Scale Feature ◽

Multi Scale ◽

Cancer Cell Detection

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Two-dimensional porphyrin-based covalent organic framework: A novel platform for sensitive epidermal growth factor receptor and living cancer cell detection

Biosensors and Bioelectronics ◽

10.1016/j.bios.2018.11.047 ◽

2019 ◽

Vol 126 ◽

pp. 734-742 ◽

Author(s):

Xu Yan ◽

Yingpan Song ◽

Jiameng Liu ◽

Nan Zhou ◽

Chunlin Zhang ◽

...

Keyword(s):

Epidermal Growth Factor Receptor ◽

Growth Factor ◽

Epidermal Growth Factor ◽

Cancer Cell ◽

Growth Factor Receptor ◽

Cell Detection ◽

Two Dimensional ◽

Covalent Organic Framework ◽

Epidermal Growth ◽

Cancer Cell Detection

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Raspberry Pi Based Cancer Cell Detection Using Segmentation Algorithm

Advances in Computerized Analysis in Clinical and Medical Imaging ◽

10.1201/9780429446030-7 ◽

2019 ◽

pp. 85-96

Author(s):

S. Yogashri ◽

S. Jayanthy ◽

C. Narendhar

Keyword(s):

Cancer Cell ◽

Segmentation Algorithm ◽

Raspberry Pi ◽

Cell Detection ◽

Cancer Cell Detection

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Integrating electrochemical immunosensing and cell adhesion technologies for cancer cell detection and enumeration

Electrochimica Acta ◽

10.1016/j.electacta.2018.08.005 ◽

2018 ◽

Vol 286 ◽

pp. 205-211 ◽

Author(s):

Rajesh Seenivasan ◽

Jay W. Warrick ◽

Carlos I. Rodriguez ◽

William Mattison ◽

David J. Beebe ◽

...

Keyword(s):

Cell Adhesion ◽

Cancer Cell ◽

Cell Detection ◽

Electrochemical Immunosensing ◽

Cancer Cell Detection

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Target-directed functionalized ferrous phosphate-carbon dots fluorescent nanostructures as peroxidase mimetics for cancer cell detection and ROS-mediated therapy

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2019.126739 ◽

2019 ◽

Vol 297 ◽

pp. 126739 ◽

Author(s):

Jingjing Guo ◽

Yan Wang ◽

Min Zhao

Keyword(s):

Cancer Cell ◽

Carbon Dots ◽

Cell Detection ◽

Cancer Cell Detection ◽

Ferrous Phosphate

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Electrochemiluminescence Sensor for Cancer Cell Detection Based on H2O2-Triggered Stimulus Response System

Journal of Analysis and Testing ◽

10.1007/s41664-020-00124-1 ◽

2020 ◽

Vol 4 (2) ◽

pp. 128-135 ◽

Author(s):

Yu Chen ◽

Zhonghui Chen ◽

Lishan Fang ◽

Aibin Weng ◽

Fang Luo ◽

...

Keyword(s):

Cancer Cell ◽

Cell Detection ◽

Stimulus Response ◽

Response System ◽

Cancer Cell Detection

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Efficient Lung Cancer Cell Detection with Deep Convolution Neural Network

Patch-Based Techniques in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-319-28194-0_10 ◽

2015 ◽

pp. 79-86 ◽

Author(s):

Zheng Xu ◽

Junzhou Huang

Keyword(s):

Neural Network ◽

Lung Cancer ◽

Cancer Cell ◽

Convolution Neural Network ◽

Cell Detection ◽

Lung Cancer Cell ◽

Deep Convolution Neural Network ◽

Cancer Cell Detection

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