Convolutional Neural Networks for Malignant and Benign Cell Classification using Dermatoscopic Images

Red blood cell classification in lensless single random phase encoding using convolutional neural networks

Optics Express ◽

10.1364/oe.405563 ◽

2020 ◽

Vol 28 (22) ◽

pp. 33504 ◽

Cited By ~ 1

Author(s):

Timothy O’Connor ◽

Christopher Hawxhurst ◽

Leslie M. Shor ◽

Bahram Javidi

Keyword(s):

Neural Networks ◽

Blood Cell ◽

Red Blood Cell ◽

Random Phase ◽

Cell Classification ◽

Phase Encoding ◽

Random Phase Encoding

Lecture Notes in Bioengineering - ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging ◽

Ensemble Convolutional Neural Networks for Cell Classification in Microscopic Images

10.1007/978-981-15-0798-4_5 ◽

2019 ◽

pp. 43-51

Author(s):

Tian Shi ◽

Longshi Wu ◽

Changhong Zhong ◽

Ruixuan Wang ◽

Weishi Zheng

Keyword(s):

Neural Networks ◽

Cell Classification ◽

Microscopic Images

Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images

Computers in Biology and Medicine ◽

10.1016/j.compbiomed.2019.103542 ◽

2020 ◽

Vol 116 ◽

pp. 103542 ◽

Cited By ~ 4

Author(s):

Larissa Ferreira Rodrigues ◽

Murilo Coelho Naldi ◽

João Fernando Mari

Keyword(s):

Neural Networks ◽

Microscopic Blood Cell Classification Using Inception Recurrent Residual Convolutional Neural Networks

NAECON 2018 - IEEE National Aerospace and Electronics Conference ◽

10.1109/naecon.2018.8556737 ◽

2018 ◽

Author(s):

Md Zahangir Alom ◽

Chris Yakopcic ◽

Tarek M. Taha ◽

Vijayan K. Asari

Keyword(s):

Neural Networks ◽

Blood Cell ◽

Advances in Intelligent Systems and Computing - Trends and Advances in Information Systems and Technologies ◽

Blood Cell Classification Using the Hough Transform and Convolutional Neural Networks

10.1007/978-3-319-77712-2_62 ◽

2018 ◽

pp. 669-678 ◽

Author(s):

Miguel A. Molina-Cabello ◽

Ezequiel López-Rubio ◽

Rafael M. Luque-Baena ◽

María Jesús Rodríguez-Espinosa ◽

Karl Thurnhofer-Hemsi

Keyword(s):

Neural Networks ◽

Blood Cell ◽

Hough Transform ◽

Cell classification using convolutional neural networks in medical hyperspectral imagery

2017 2nd International Conference on Image, Vision and Computing (ICIVC) ◽

10.1109/icivc.2017.7984606 ◽

2017 ◽

Cited By ~ 1

Author(s):

Xiang Li ◽

Wei Li ◽

Xiaodong Xu ◽

Wei Hu

Keyword(s):

Neural Networks ◽

Hyperspectral Imagery ◽

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE) ◽

Human Epithelial Type 2 cell classification with convolutional neural networks

10.1109/bibe.2015.7367705 ◽

2015 ◽

Cited By ~ 17

Author(s):

Neslihan Bayramoglu ◽

Juho Kannala ◽

Janne Heikkila

Keyword(s):

Neural Networks ◽

Automatic breast cancer cell classification using deep convolutional neural networks

Journal of Science Humanities and Arts - JOSHA ◽

10.17160/josha.7.2.652 ◽

2020 ◽

Vol 7 (2) ◽

Author(s):

Gisela Pattarone

Keyword(s):

Breast Cancer ◽

Neural Networks ◽

Cancer Cell ◽

Breast Cancer Cell ◽

Deep Convolutional Neural Networks ◽

Single-cell dispensing and ‘real-time’ cell classification using convolutional neural networks for higher efficiency in single-cell cloning

Scientific Reports ◽

10.1038/s41598-020-57900-3 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Julian Riba ◽

Jonas Schoendube ◽

Stefan Zimmermann ◽

Peter Koltay ◽

Roland Zengerle

Keyword(s):

Neural Networks ◽

Single Cell ◽

Real Time ◽

Cell Cloning ◽

Cell Classification ◽

Single Cell Cloning

Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images

2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) ◽

10.1109/sibgrapi.2017.29 ◽

2017 ◽

Author(s):

Larissa Ferreira Rodrigues ◽

Murilo Coelho Naldi ◽

Joao Fernando Mari

Keyword(s):

Neural Networks ◽