A novel multiphoton microscopy images segmentation method based on superpixel and watershed-Reference-Cited by-同舟云学术

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A novel multiphoton microscopy images segmentation method based on superpixel and watershed

Published:2016-04-19 Issue:4 Volume:10 Page:532-541
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Wu Weilin¹²,Lin Jinyong³,Wang Shu¹²,Li Yan¹²,Liu Mingyu¹²,Liu Gaoqiang¹²,Cai Jianyong¹²,Chen Guannan¹²,Chen Rong¹²

Affiliation:

1. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education Fujian Normal University; Fuzhou Fujian 350007 China

2. Department of Network and Communication Engineering; Fujian Normal University; Fuzhou Fujian 350007 China

3. Department of Radiation Oncology; Fujian Provincial Cancer Hospital; Fuzhou Fujian 350014 China

Funder

Program for Changjiang Scholars and Innovative Research Team in University

National Natural Science Foundation of China

Science and Technology Project of Fujian Province

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Reference27 articles.

1. Two-Photon Laser Scanning Fluorescence Microscopy

2. Improved signal-to-noise ratio in spectral-domain compared with time-domain optical coherence tomography

3. Positron emission tomography

4. A Statistical Pixel Intensity Model for Segmentation of Confocal Laser Scanning Microscopy Images

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1. The Algorithm of Watershed Color Image Segmentation Based on Morphological Gradient;Sensors;2022-10-26

2. Superpixel/voxel medical image segmentation algorithm based on the regional interlinked value;Pattern Analysis and Applications;2021-08-19

3. Automatic segmentation of skin cells in multiphoton data using multi-stage merging;Scientific Reports;2021-07-15

4. Adaptive segmentation of traditional cultural pattern based on superpixel Log-Euclidean Gaussian metric;Applied Soft Computing;2020-12

5. Dense-UNet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network;Quantitative Imaging in Medicine and Surgery;2020-06

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