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 …
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 …
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 …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
[Retracted] An Effective Machine Learning‐Based Model for an Early Heart Disease Prediction
PC Bizimana, Z Zhang, M Asim… - BioMed Research …, 2023 - Wiley Online Library
Heart disease (HD) has become a dangerous problem and one of the most significant
mortality factors worldwide, which requires an expensive and sophisticated detection …
mortality factors worldwide, which requires an expensive and sophisticated detection …
An IoMT-based melanoma lesion segmentation using conditional generative adversarial networks
Currently, Internet of medical things-based technologies provide a foundation for remote
data collection and medical assistance for various diseases. Along with developments in …
data collection and medical assistance for various diseases. Along with developments in …
A deep reinforcement learning-based decision support system for automated stock market trading
Presently, the volatile and dynamic aspects of stock prices are significant research
challenges for stock markets or any other financial sector to design accurate and profitable …
challenges for stock markets or any other financial sector to design accurate and profitable …
Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks
Unsupervised domain adaptation (UDA) describes a set of techniques for using previously
acquired knowledge from labeled original data to support task completion in comparable but …
acquired knowledge from labeled original data to support task completion in comparable but …
A machine learning and deep learning-based integrated multi-omics technique for leukemia prediction
In recent years, scientific data on cancer has expanded, providing potential for a better
understanding of malignancies and improved tailored care. Advances in Artificial …
understanding of malignancies and improved tailored care. Advances in Artificial …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …