Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a sco** review
Background Navigating the complexity of chronic myeloid leukemia (CML) diagnosis and
management poses significant challenges, including the need for accurate prediction of …
management poses significant challenges, including the need for accurate prediction of …
Machine learning and artificial intelligence in haematology
Digitalization of the medical record and integration of genomic methods into clinical practice
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …
have resulted in an unprecedented wealth of data. Machine learning is a subdomain of …
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia.
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
[HTML][HTML] Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
Method for diagnosis of acute lymphoblastic leukemia based on ViT‐CNN ensemble model
Z Jiang, Z Dong, L Wang… - Computational Intelligence …, 2021 - Wiley Online Library
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 …
accounts for about 25% of childhood cancers. Timely and accurate diagnosis of the cancer …
IoMT‐based automated detection and classification of leukemia using deep learning
For the last few years, computer‐aided diagnosis (CAD) has been increasing rapidly.
Numerous machine learning algorithms have been developed to identify different diseases …
Numerous machine learning algorithms have been developed to identify different diseases …
Automated blast cell detection for Acute Lymphoblastic Leukemia diagnosis
R Khandekar, P Shastry, S Jaishankar, O Faust… - … Signal Processing and …, 2021 - Elsevier
Abstract Acute Lymphoblastic Leukemia (ALL) is a cancer of the blood cells which is
characterized by a large number of immature lymphocytes, known as blast cells …
characterized by a large number of immature lymphocytes, known as blast cells …
Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization
Leukemia is a type of cancer that affects blood cells and causes fatal infection and
premature death. Modern technology enabled by the machine and advanced deep learning …
premature death. Modern technology enabled by the machine and advanced deep learning …
BreastNet18: a high accuracy fine-tuned VGG16 model evaluated using ablation study for diagnosing breast cancer from enhanced mammography images
Simple Summary Breast cancer diagnosis at an early stage using mammography is
important, as it assists clinical specialists in treatment planning to increase survival rates …
important, as it assists clinical specialists in treatment planning to increase survival rates …
A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning
Leukemia is a fatal category of cancer‐related disease that affects individuals of all ages,
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
including children and adults, and is a significant cause of death worldwide. Particularly, it is …