Deep learning for an automated image-based stem cell classification
Hematopoiesis is a process in which hematopoietic stem cells produce other mature blood cells in the bone marrow through cell proliferation and differentiation. The hematopoietic cells are cultured on a petri dish to form a different colony-forming unit (CFU). The idea is to identify the type of CFU...
| Main Authors: | Nurul Syahira Mohamad Zamani, Hoe, Ernest Yoon Choong, Aqilah Baseri Huddin, Wan Mimi Diyana Wan Zaki, Zariyantey Abd Hamid |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2023
|
| Online Access: | http://journalarticle.ukm.my/22842/ http://journalarticle.ukm.my/22842/1/18%20%281%29.pdf |
Similar Items
Pterygium classification using deep patch region-based anterior segment photographed images
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023)
Deep transfer learning application for automated ischemic classification in posterior fossa CT images
by: Muhd Suberi, Anis Azwani, et al.
Published: (2019)
by: Muhd Suberi, Anis Azwani, et al.
Published: (2019)
Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography
by: Huddin, Azzam Basseri, et al.
Published: (2022)
by: Huddin, Azzam Basseri, et al.
Published: (2022)
Segmentation methods for MRI human spine images using thresholding approaches
by: Nor Aqlina Abdul Halim,, et al.
Published: (2022)
by: Nor Aqlina Abdul Halim,, et al.
Published: (2022)
Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)
by: Koi, Chin Chong
Published: (2024)
Automated detection and classification of Leukemia using deep learning
by: Lee, Kye Fung
Published: (2022)
by: Lee, Kye Fung
Published: (2022)
Deep Image Representations for Coral Image Classification
by: Mahmood, A., et al.
Published: (2018)
by: Mahmood, A., et al.
Published: (2018)
Automated Intelligent Real-Time System For Aggregate Classification
by: Md Sani, Zamani
Published: (2009)
by: Md Sani, Zamani
Published: (2009)
Deep reconstruction models for image set classification
by: Hayat, M., et al.
Published: (2015)
by: Hayat, M., et al.
Published: (2015)
Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
Combining deep and handcrafted image features for MRI brain scan classification
by: Hasan, Ali M., et al.
Published: (2019)
by: Hasan, Ali M., et al.
Published: (2019)
Automated classification of collateral circulation for ischemic stroke in cone-beam CT images using VGG11: a deep learning approach
by: Ali, Nur Hasanah, et al.
Published: (2024)
by: Ali, Nur Hasanah, et al.
Published: (2024)
Hunger classification of Lates calcarifer by means of an automated feeder and image processing
by: Mohd Razman, Mohd Azraai, et al.
Published: (2019)
by: Mohd Razman, Mohd Azraai, et al.
Published: (2019)
Hunger classification of Lates calcarifer by means of an automated feeder and image processing
by: Mohd Azraai, Mohd Razman, et al.
Published: (2019)
by: Mohd Azraai, Mohd Razman, et al.
Published: (2019)
Automated pavement imaging program (APIP) for pavement cracks classification and quantification
by: Che Puan, Othman, et al.
Published: (2007)
by: Che Puan, Othman, et al.
Published: (2007)
An enhanced classification of bacteria pathogen on microscopy images using deep learning
by: Son Ali, Akbar, et al.
Published: (2021)
by: Son Ali, Akbar, et al.
Published: (2021)
Incremental learning of deep neural network for robust vehicle classification
by: Ahmad Mimi Nathiratul Athriyah,, et al.
Published: (2022)
by: Ahmad Mimi Nathiratul Athriyah,, et al.
Published: (2022)
Sistem saringan penyakit pterigium untuk imej mata terangkum hadapan
by: Siti Nur Aishah Ahmad,, et al.
Published: (2019)
by: Siti Nur Aishah Ahmad,, et al.
Published: (2019)
Automatic disease detection of basal stem rot using deep learning and hyperspectral imaging
by: Yong, Lai Zhi, et al.
Published: (2022)
by: Yong, Lai Zhi, et al.
Published: (2022)
Deep Learning for Coral Classification
by: Mahmood, A., et al.
Published: (2017)
by: Mahmood, A., et al.
Published: (2017)
A combinatorial RGB and depth images CNN-based model for oil palm fruit bunch detection and heatmap localisation for a visual SLAM system
by: Chua Zheng Siong,, et al.
Published: (2021)
by: Chua Zheng Siong,, et al.
Published: (2021)
Deep learning-based classification of breast tumors in ultrasound images / Ayub Ahmed Omar
by: Ayub Ahmed, Omar
Published: (2022)
by: Ayub Ahmed, Omar
Published: (2022)
Attention-based multiscale deep learning with unsampled pixel utilization for hyperspectral image classification
by: AL-Kubaisi, Mohammed Ahmed, et al.
Published: (2023)
by: AL-Kubaisi, Mohammed Ahmed, et al.
Published: (2023)
A comparison study of deep CNN models for brain tumor MRI image classification
by: Muhammad Imran, Mohd Ridzuan
Published: (2021)
by: Muhammad Imran, Mohd Ridzuan
Published: (2021)
A rapid and non-destructive technique in determining the ripeness of oil palm fresh fruit bunch (FFB)
by: Zuhaira Mohd Zulkifli,, et al.
Published: (2018)
by: Zuhaira Mohd Zulkifli,, et al.
Published: (2018)
Feature recognition and classification of shanxi cave dwellings based on deep learning
by: Jia, Zong, et al.
Published: (2023)
by: Jia, Zong, et al.
Published: (2023)
Automated visual defect detection using deep learning
by: Loh, Xiao
Published: (2022)
by: Loh, Xiao
Published: (2022)
Deep learning approach for automated geospatial data collection
by: Al-Azizi, Jalal Ibrahim
Published: (2020)
by: Al-Azizi, Jalal Ibrahim
Published: (2020)
Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
by: Ghulam , Murtaza
Published: (2021)
by: Ghulam , Murtaza
Published: (2021)
Classification of rail defect based on B-type display image using deep learning method
by: Li, Jie
Published: (2023)
by: Li, Jie
Published: (2023)
Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network
by: Rosdiana, Shahril, et al.
Published: (2020)
by: Rosdiana, Shahril, et al.
Published: (2020)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
Herbal plant image classification using transfer learning and fine-tuning deep learning model
by: Khalid, Fatimah, et al.
Published: (2024)
by: Khalid, Fatimah, et al.
Published: (2024)
GRA_Net: a deep learning model for classification of age and gender from facial images
by: Garain, Avishek, et al.
Published: (2021)
by: Garain, Avishek, et al.
Published: (2021)
Deep neural networks for spam classification
by: Kasmani, Mohamed Khizer
Published: (2013)
by: Kasmani, Mohamed Khizer
Published: (2013)
Challenges and solutions of deep learning-based automated liver segmentation: a systematic review
by: Ghobadi, Vahideh, et al.
Published: (2025)
by: Ghobadi, Vahideh, et al.
Published: (2025)
Seed and seedling detection using unmanned aerial vehicles and automated image classification in the monitoring of ecological recovery
by: Buters, Todd, et al.
Published: (2019)
by: Buters, Todd, et al.
Published: (2019)
Automated pavement imaging program (APIP) for pavement cracks classification and quantification – a photogrammetric approach
by: Mustaffar, Mushairry, et al.
Published: (2008)
by: Mustaffar, Mushairry, et al.
Published: (2008)
Novel automated classification approaches for citizen science
by: Jiménez Morales, Manuel Alejandro
Published: (2020)
by: Jiménez Morales, Manuel Alejandro
Published: (2020)
Enhanced Automated Framework For Cattle Tracking And Classification
by: Williams, Bello Rotimi
Published: (2022)
by: Williams, Bello Rotimi
Published: (2022)
Similar Items
-
Pterygium classification using deep patch region-based anterior segment photographed images
by: Nurul Syahira Mohamad Zamani,, et al.
Published: (2023) -
Deep transfer learning application for automated ischemic classification in posterior fossa CT images
by: Muhd Suberi, Anis Azwani, et al.
Published: (2019) -
Evaluation of intracerebral haemorrhages surface area using artificial intelligence in computed tomography
by: Huddin, Azzam Basseri, et al.
Published: (2022) -
Segmentation methods for MRI human spine images using thresholding approaches
by: Nor Aqlina Abdul Halim,, et al.
Published: (2022) -
Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)