Computer‐aided deep learning model for identification of lymphoblast cell using microscopic leukocyte images
出版年份 2021 全文链接
标题
Computer‐aided
deep learning model for identification of lymphoblast cell using microscopic leukocyte images
作者
关键词
-
出版物
EXPERT SYSTEMS
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2021-11-29
DOI
10.1111/exsy.12894
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Blob Detection and Deep Learning for Leukemic Blood Image Analysis
- (2020) Cecilia Di Ruberto et al. Applied Sciences-Basel
- Deep convolutional neural networks with transfer learning for automated brain image classification
- (2020) Taranjit Kaur et al. MACHINE VISION AND APPLICATIONS
- Real-time image dehazing by superpixels segmentation and guidance filter
- (2020) Haseeb Hassan et al. Journal of Real-Time Image Processing
- Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks
- (2020) Fatemeh Abdolali et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Efficient image encryption scheme based on generalized logistic map for real time image processing
- (2020) Asif A. Shah et al. Journal of Real-Time Image Processing
- The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
- (2020) Mamoon Rashid et al. EXPERT SYSTEMS
- Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images
- (2019) Roopa B. Hegde et al. Biocybernetics and Biomedical Engineering
- Single image defocus estimation by modified gaussian function
- (2019) Haseeb Hassan et al. Transactions on Emerging Telecommunications Technologies
- Recognition of peripheral blood cell images using convolutional neural networks
- (2019) Andrea Acevedo et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification
- (2018) Luis H.S. Vogado et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- White Blood Cells Classification with Deep Convolutional Neural Networks
- (2018) Ming Jiang et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification
- (2018) Gaobo Liang et al. IEEE Access
- Detection of Subtype Blood Cells using Deep Learning
- (2018) Prayag Tiwari et al. Cognitive Systems Research
- Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks
- (2018) Sarmad Shafique et al. TECHNOLOGY IN CANCER RESEARCH & TREATMENT
- Classification of acute lymphoblastic leukemia using deep learning
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- White blood cell differential count of maturation stages in bone marrow smear using dual-stage convolutional neural networks
- (2017) Jin Woo Choi et al. PLoS One
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic detection and classification of leukocytes using convolutional neural networks
- (2016) Jianwei Zhao et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images
- (2014) Salim Arslan et al. CYTOMETRY PART A
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now