A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
A systematic review on acute leukemia detection using deep learning techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …
abnormal growth of white blood cells. It is a disease that affects people all over the world …
Automated classification of acute leukemia on a heterogeneous dataset using machine learning and deep learning techniques
Today, artificial intelligence and deep learning techniques constitute a prominent part in the
area of medical sciences. These techniques help doctors detect diseases early and reduce …
area of medical sciences. These techniques help doctors detect diseases early and reduce …
Leukemia segmentation and classification: A comprehensive survey
Blood is made up of leukocytes (WBCs), erythrocytes (RBCs), and thrombocytes. The ratio of
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
blood cancer diseases is increasing rapidly, among which leukemia is one of the famous …
Histopathological transfer learning for acute lymphoblastic leukemia detection
The detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) is being
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
[HTML][HTML] Multi-method diagnosis of blood microscopic sample for early detection of acute lymphoblastic leukemia based on deep learning and hybrid techniques
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 …
blood in all age groups, both in children and adults. The most dangerous and deadly type of …
[HTML][HTML] Intelligent medical IoT-enabled automated microscopic image diagnosis of acute blood cancers
Blood cancer, or leukemia, has a negative impact on the blood and/or bone marrow of
children and adults. Acute lymphocytic leukemia (ALL) and acute myeloid leukemia (AML) …
children and adults. Acute lymphocytic leukemia (ALL) and acute myeloid leukemia (AML) …
Bayesian convolutional neural network-based models for diagnosis of blood cancer
ME Billah, F Javed - Applied Artificial Intelligence, 2022 - Taylor & Francis
Deep learning methods allow computational models involving multiple processing layers to
discover intricate structures in data sets. Classifying an image is one such problem where …
discover intricate structures in data sets. Classifying an image is one such problem where …
Deep learning for the detection of acute lymphoblastic leukemia subtypes on microscopic images: A systematic literature review
Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
Automated analysis of blood smear images for leukemia detection: a comprehensive review
Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in the early
stages. It is detected through a blood smear test that involves the morphological analysis of …
stages. It is detected through a blood smear test that involves the morphological analysis of …