AIMC Topic: Precursor Cell Lymphoblastic Leukemia-Lymphoma
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Optimal Deep Transfer Learning-Based Human-Centric Biomedical Diagnosis for Acute Lymphoblastic Leukemia Detection.
Computational intelligence and neuroscience
May 30, 2022
Human-centric biomedical diagnosis (HCBD) becomes a hot research topic in the healthcare sector, which assists physicians in the disease diagnosis and decision-making process. Leukemia is a pathology that affects younger people and adults, instigatin...
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.
Journal of digital imaging
Feb 23, 2022
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it is characterized by the production of immature malignant cells in the bone marrow. Computer vision techniques provide automated analysis that can help specialist...
Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques.
Sensors (Basel, Switzerland)
Feb 19, 2022
Leukemia is one of the most dangerous types of malignancies affecting the bone marrow or blood in all age groups, both in children and adults. The most dangerous and deadly type of leukemia is acute lymphoblastic leukemia (ALL). It is diagnosed by he...
Classifying microscopic images as acute lymphoblastic leukemia by Resnet ensemble model and Taguchi method.
BMC bioinformatics
Jan 11, 2022
BACKGROUND: Researchers have attempted to apply deep learning methods of artificial intelligence for rapidly and accurately detecting acute lymphoblastic leukemia (ALL) in microscopic images.
IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification.
Sensors (Basel, Switzerland)
Dec 1, 2021
Acute lymphoblastic leukemia is the most common cancer in children, and its diagnosis mainly includes microscopic blood tests of the bone marrow. Therefore, there is a need for a correct classification of white blood cells. The approach developed in ...
Timely Diagnosis of Acute Lymphoblastic Leukemia Using Artificial Intelligence-Oriented Deep Learning Methods.
Computational intelligence and neuroscience
Nov 11, 2021
BACKGROUND: Leukemia is fatal cancer in both children and adults and is divided into acute and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis of this disease can have a significant impact on the treatment of ...
Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model.
Computational intelligence and neuroscience
Aug 21, 2021
Acute lymphocytic leukemia (ALL) is a deadly cancer that not only affects adults but also accounts for about 25% of childhood cancers. Timely and accurate diagnosis of the cancer is an important premise for effective treatment to improve survival rat...
IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.
Journal of healthcare engineering
Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Internet of Things
Databases, Factual
Pattern Recognition, Automated
Machine Learning
Precursor Cell Lymphoblastic Leukemia-Lymphoma
Leukemia
Cloud Computing
Leukemia, Lymphocytic, Chronic, B-Cell
Diagnostic Imaging
COVID-19
Diagnosis, Computer-Assisted
Humans
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
Leukemia, Myeloid, Acute
Telemedicine
Algorithms
Deep Learning
Neural Networks, Computer
A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.
Medical & biological engineering & computing
Nov 6, 2020
Leukaemia is a type of blood cancer which mainly occurs when bone marrow produces excess white blood cells in our body. This disease not only affects adult but also is a common cancer type among children. Treatment of leukaemia depends on its type an...
Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.
Asian Pacific journal of cancer prevention : APJCP
Nov 1, 2020
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is responsible for the most deaths amongst children. Due to major improvements in the treatment protocols in the 50-years period, the survivability of thi...
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