Classification and counting of cells in brightfield microscopy images: an application of convolutional neural networks

Classification and counting of cells in brightfield microscopy images: an application of convolutional neural networks

Abstract Microscopy is integral to medical research, facilitating the exploration of various biological questions, notably cell quantification. However, this process's time-consuming and error-prone nature, attributed to human intervention or automated methods usually applied to fluorescent ima...

Full description

Bibliographic Details
Main Authors:	E. K. G. D. Ferreira, G. F. Silveira
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-04-01
Series:	Scientific Reports
Subjects:	Cell lineages CNNs Machine learning Microscopic image
Online Access:	https://doi.org/10.1038/s41598-024-59625-z

Similar Items

Ensemble of fine‐tuned convolutional neural networks for urine sediment microscopic image classification
by: Wenqian Liu, et al.
Published: (2020-02-01)

Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification
by: Mercedes E. Paoletti, et al.
Published: (2018-09-01)

Automated Classification of Auroral Images with Deep Neural Networks
by: Zhiyuan Shang, et al.
Published: (2023-02-01)

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
by: Simin Li, et al.
Published: (2019-04-01)

Analyzing AIA Flare Observations Using Convolutional Neural Networks
by: Teri Love, et al.
Published: (2020-06-01)

Anomaly Detection in the Molecular Structure of Gallium Arsenide Using Convolutional Neural Networks
by: Timothy Roche, et al.
Published: (2023-08-01)

Rethinking the image feature biases exhibited by deep convolutional neural network models in image recognition
by: Dawei Dai, et al.
Published: (2022-12-01)

Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification
by: Xianpeng Guo, et al.
Published: (2022-06-01)

Hyperspectral Image Classification Based on Spectral Multiscale Convolutional Neural Network
by: Cuiping Shi, et al.
Published: (2022-04-01)

Morphological Convolutional Neural Networks for Hyperspectral Image Classification
by: Swalpa Roy, et al.
Published: (2021-01-01)

Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks
by: Varun Mannam, et al.
Published: (2023-12-01)

Segmentation of Total Cell Area in Brightfield Microscopy Images
by: Martin Čepa
Published: (2018-11-01)

Aerial-Image Denoising Based on Convolutional Neural Network with Multi-Scale Residual Learning Approach
by: Chong Chen, et al.
Published: (2018-07-01)

Small-Scale Depthwise Separable Convolutional Neural Networks for Bacteria Classification
by: Duc-Tho Mai, et al.
Published: (2021-12-01)

Performance of Fine-Tuning Convolutional Neural Networks for HEp-2 Image Classification
by: Vincenzo Taormina, et al.
Published: (2020-10-01)

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning
by: Qishuo Gao, et al.
Published: (2018-02-01)

Pansharpening via Unsupervised Convolutional Neural Networks
by: Shuyue Luo, et al.
Published: (2020-01-01)

An Evaluation of Convolutional Neural Networks for Lithological Mapping Based on Hyperspectral Images
by: Ziye Wang, et al.
Published: (2024-01-01)

Establishing a reference focal plane using convolutional neural networks and beads for brightfield imaging
by: Joe Chalfoun, et al.
Published: (2024-04-01)

A Lightweight Convolutional Neural Network Based on Hierarchical-Wise Convolution Fusion for Remote-Sensing Scene Image Classification
by: Cuiping Shi, et al.
Published: (2022-07-01)

Precise Brightfield Localization Alignment for Fourier Ptychographic Microscopy
by: Jizhou Zhang, et al.
Published: (2018-01-01)

Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification
by: Ali Radman, et al.
Published: (2022-12-01)

Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics
by: Shuang Zhao, et al.
Published: (2020-01-01)

Deep Learning Applied to SEM Images for Supporting Marine Coralline Algae Classification
by: Giulia Piazza, et al.
Published: (2021-12-01)

An Experimental Platform for Tomographic Reconstruction of Tissue Images in Brightfield Microscopy
by: Panteleimon Koudounas, et al.
Published: (2023-11-01)

RS-DARTS: A Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification
by: Zhen Zhang, et al.
Published: (2021-12-01)

Tongue Segmentation and Color Classification Using Deep Convolutional Neural Networks
by: Bo Yan, et al.
Published: (2022-11-01)

Discriminating Fake and Real Smiles Using Electroencephalogram Signals With Convolutional Neural Networks
by: Mostafa M. Moussa, et al.
Published: (2022-01-01)

Using Deep Convolutional Neural Networks for Enhanced Ultrasonographic Image Diagnosis of Differentiated Thyroid Cancer
by: Wai-Kin Chan, et al.
Published: (2021-11-01)

An Encoder–Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification
by: Zhongwei Li, et al.
Published: (2020-01-01)

Adaptable Convolutional Network for Hyperspectral Image Classification
by: Mercedes E. Paoletti, et al.
Published: (2021-09-01)

Generalization of Convolutional Neural Networks for ECG Classification Using Generative Adversarial Networks
by: Abdelrahman M. Shaker, et al.
Published: (2020-01-01)

Multi-Scale Spectral-Spatial Attention Network for Hyperspectral Image Classification Combining 2D Octave and 3D Convolutional Neural Networks
by: Lianhui Liang, et al.
Published: (2023-03-01)

Using convolutional neural networks to detect learner's personality based on the Five Factor Model
by: N. El Bahri, et al.
Published: (2023-01-01)

Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images
by: Younes Akbari, et al.
Published: (2020-01-01)

Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening
by: Lin He, et al.
Published: (2020-01-01)

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks
by: Abdelrahman Ahmed, et al.
Published: (2020-09-01)

The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts
by: Hao Wen, et al.
Published: (2021-05-01)

Combining bag of visual words-based features with CNN in image classification
by: Marzouk Marwa A., et al.
Published: (2024-03-01)

Convolutional Neural Network Performance and the Factors Affecting Performance for Classification of Seven Quercus Species using Sclereid Characteristics in the Bark
by: Jong Ho Kim, et al.
Published: (2023-12-01)