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Image cropping for malaria parasite detection on heterogeneous data

Journal of microbiological methods, 2024-10, Vol.225, p.107022, Article 107022

2024

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Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis

Biomedical signal processing and control, 2021-07, Vol.68, p.102690, Article 102690

2021

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Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia

IEEE transactions on engineering management, 2023-08, Vol.70 (8), p.2760-2773

2023

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Machine learning approach of automatic identification and counting of blood cells

Healthcare technology letters, 2019-08, Vol.6 (4), p.103-108

2019

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An Intelligent Approach for Blood Cell Detection Employing Faster RCNN

Pakistan Journal of Engineering & Technology, 2023-01, Vol.6 (1), p.1-6

2023

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Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison

Medical engineering & physics, 2021-12, Vol.98, p.8-19

2021

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A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

IEEE access, 2021, Vol.9, p.10657-10673

2021

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Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review

ACM computing surveys, 2022-09, Vol.54 (11s), p.1-37, Article 234

2022

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White blood cells identification system based on convolutional deep neural learning networks

Computer methods and programs in biomedicine, 2019-01, Vol.168, p.69-80

2019

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Automated Detection of B Cell and T Cell Acute Lymphoblastic Leukaemia Using Deep Learning

Ingénierie et recherche biomédicale, 2022-10, Vol.43 (5), p.405-413

2022

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Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images

Journal of medical systems, 2018-06, Vol.42 (6), p.110-8, Article 110

2018

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Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.2989

2021

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Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network

Computers in biology and medicine, 2024-05, Vol.174, p.108146-108146, Article 108146

2024

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A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images

IEEE access, 2020, Vol.8, p.93782-93792

2020

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Optimal Feature Selection from High-dimensional Fusion of Blood Smear Images for Leukemia Diagnosis

Scalable Computing. Practice and Experience, 2024-04, Vol.25 (3), p.1980-2000

2024

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A new approach for malaria diagnosis in thick blood smear images

Biomedical signal processing and control, 2022-09, Vol.78, p.103931, Article 103931

2022

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Nucleus Segmentation from Microscopic Bone Marrow Image

Progress in Advanced Computing and Intelligent Engineering, p.44-50

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Malaria Parasite Detection on Microscopic Blood Smear Images with Integrated Deep Learning Algorithms

International arab journal of information technology, 2023-03, Vol.20 (2)

2023

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Development of a robust algorithm for detection of nuclei of white blood cells in peripheral blood smear images

Multimedia tools and applications, 2019-07, Vol.78 (13), p.17879-17898

2019

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Unsupervised Deep Learning CAD Scheme for the Detection of Malaria in Blood Smear Microscopic Images

IEEE access, 2020, Vol.8, p.94936-94946

2020

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CNN-SSPSO: A Hybrid and Optimized CNN Approach for Peripheral Blood Cell Image Recognition and Classification

International journal of pattern recognition and artificial intelligence, 2021-04, Vol.35 (5), p.2157004

2021

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Deep Learning for Real-time Malaria Parasite Detection and Counting Using YOLO-mp

IEEE access, 2022, Vol.10, p.1-1

2022

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Nucleus and cytoplasm–based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images

Medical & biological engineering & computing, 2020, Vol.58 (1), p.171-186

2020

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DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images

Diagnostics (Basel), 2023-08, Vol.13 (17), p.2752

2023

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A framework for Early Detection of Acute Lymphoblastic Leukemia and its Subtypes from Peripheral Blood Smear Images Using Deep Ensemble Learning Technique

IEEE access, 2024-01, Vol.12, p.1-1

2024

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Image cropping for malaria parasite detection on heterogeneous data

Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis

Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia

Machine learning approach of automatic identification and counting of blood cells

An Intelligent Approach for Blood Cell Detection Employing Faster RCNN

Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison

A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review

White blood cells identification system based on convolutional deep neural learning networks

Automated Detection of B Cell and T Cell Acute Lymphoblastic Leukaemia Using Deep Learning

Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images

Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model

Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network

A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images

Optimal Feature Selection from High-dimensional Fusion of Blood Smear Images for Leukemia Diagnosis

A new approach for malaria diagnosis in thick blood smear images

Nucleus Segmentation from Microscopic Bone Marrow Image

Malaria Parasite Detection on Microscopic Blood Smear Images with Integrated Deep Learning Algorithms

Development of a robust algorithm for detection of nuclei of white blood cells in peripheral blood smear images

Unsupervised Deep Learning CAD Scheme for the Detection of Malaria in Blood Smear Microscopic Images

CNN-SSPSO: A Hybrid and Optimized CNN Approach for Peripheral Blood Cell Image Recognition and Classification

Deep Learning for Real-time Malaria Parasite Detection and Counting Using YOLO-mp

Nucleus and cytoplasm–based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images

DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images

A framework for Early Detection of Acute Lymphoblastic Leukemia and its Subtypes from Peripheral Blood Smear Images Using Deep Ensemble Learning Technique

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