A review for cervical histopathology image analysis using machine vision approaches

C Li, H Chen, X Li, N Xu, Z Hu, D Xue, S Qi… - Artificial Intelligence …, 2020 - Springer
Because cervical histopathology image analysis plays a very importation role in the cancer
diagnosis and medical treatment processes, since the 1980s, more and more effective …

A survey for the applications of content-based microscopic image analysis in microorganism classification domains

C Li, K Wang, N Xu - Artificial Intelligence Review, 2019 - Springer
Microorganisms such as protozoa and bacteria play very important roles in many practical
domains, like agriculture, industry and medicine. To explore functions of different categories …

A new approach for segmentation and quantification of cells or nanoparticles

ZZ Wang - IEEE Transactions on Industrial Informatics, 2016 - ieeexplore.ieee.org
With the rapid development of microscopy imaging technology, the requirement for robust
segmentation and quantification of cells or nanoparticles increases greatly. It remains …

[HTML][HTML] Quantitative 3D analysis of complex single border cell behaviors in coordinated collective cell migration

A Cliffe, DP Doupé, HH Sung, IKH Lim, KH Ong… - Nature …, 2017 - nature.com
Understanding the mechanisms of collective cell migration is crucial for cancer metastasis,
wound healing and many developmental processes. Imaging a migrating cluster in vivo is …

[HTML][HTML] Generalizing cell segmentation and quantification

Z Wang, H Li - BMC bioinformatics, 2017 - Springer
Background In recent years, the microscopy technology for imaging cells has developed
greatly and rapidly. The accompanying requirements for automatic segmentation and …

Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images

MS Kang, E Cha, E Kang, JC Ye, NG Her, JW Oh… - … Signal Processing and …, 2020 - Elsevier
Abstract Background and Objective Microscope images are used for cell biology and clinical
analysis. In general, microscopic images of 10× magnification are frequently used for cell …

Automated epithelial nuclei segmentation for computational disease detection algorithms

VM Burger, SC Chennubhotla - US Patent 9,626,583, 2017 - Google Patents
In aspects, the subject innovation can comprise systems and methods capable of
automatically labeling cell nuclei (eg, epithelial nuclei) in tissue images containing multiple …

Stereoscopic cell tracking for evaluating cell motility and mobility validated by deep learning

U Celik, H Eren - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Extracting dynamic features of a cell plays important role in understanding cell response to
internal or external perturbations, which can be both a painful and imprecise task as one …

Optimization of convolutional neural network ensemble classifiers by genetic algorithms

MA Molina-Cabello, C Accino, E López-Rubio… - … : 15th International Work …, 2019 - Springer
Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An
analysis from histopathological images could predict this disease. In this way, computational …

Segmentación y detección de objetos en imágenes y vídeo mediante inteligencia computacional

MÁ Molina-Cabello - 2018 - riuma.uma.es
La presente tesis trata sobre el procesamiento y análisis de imágenes y video mediante
sistemas informáticos. Primeramente se hace una introducción, especificando contexto …