Detecting Malignant Leukemia Cells Using Microscopic Blood Smear Images: A Deep Learning Approach
出版年份 2022 全文链接
标题
Detecting Malignant Leukemia Cells Using Microscopic Blood Smear Images: A Deep Learning Approach
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 12, Issue 13, Pages 6317
出版商
MDPI AG
发表日期
2022-06-22
DOI
10.3390/app12136317
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。- Regularized sparse features for noisy speech enhancement using deep neural networks
- (2022) Muhammad Irfan Khattak et al. COMPUTERS & ELECTRICAL ENGINEERING
- E2E-V2SResNet: Deep residual convolutional neural networks for end-to-end video driven speech synthesis
- (2022) Nasir Saleem et al. IMAGE AND VISION COMPUTING
- Blob Detection and Deep Learning for Leukemic Blood Image Analysis
- (2020) Cecilia Di Ruberto et al. Applied Sciences-Basel
- GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images
- (2020) Anubha Gupta et al. MEDICAL IMAGE ANALYSIS
- Automated design for recognition of blood cells diseases from hematopathology using classical features selection and ELM
- (2020) Muhammad Attique Khan et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Automated Detection of Acute Lymphoblastic Leukemia From Microscopic Images Based on Human Visual Perception
- (2020) Alexandra Bodzas et al. Frontiers in Bioengineering and Biotechnology
- Acute Lymphoblastic Leukemia Segmentation Using Local Pixel Information
- (2019) Saif S. Al-jaboriy et al. PATTERN RECOGNITION LETTERS
- Feature extraction using traditional image processing and convolutional neural network methods to classify white blood cells: a study
- (2019) Roopa B. Hegde et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- Improved image segmentation algorithms for detecting types of acute lymphatic leukemia
- (2019) F Al-Tahhan et al. IET Image Processing
- Automated Acute Lymphoblastic Leukemia Detection System using Microscopic Images
- (2019) Abdul Ghafoor et al. IET Image Processing
- Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images
- (2019) Krishna Kumar Jha et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automated Decision Support System for Detection of Leukemia from Peripheral Blood Smear Images
- (2019) Roopa B. Hegde et al. JOURNAL OF DIGITAL IMAGING
- 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
- Classification of acute lymphoblastic leukemia using deep learning
- (2018) Amjad Rehman et al. MICROSCOPY RESEARCH AND TECHNIQUE
- PCSeg: Color model driven probabilistic multiphase level set based tool for plasma cell segmentation in multiple myeloma
- (2018) Anubha Gupta et al. PLoS One
- Fully automatic face normalization and single sample face recognition in unconstrained environments
- (2016) Mohammad Haghighat et al. EXPERT SYSTEMS WITH APPLICATIONS
- Automatic detection and classification of leukocytes using convolutional neural networks
- (2016) Jianwei Zhao et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started