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 …
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …
crucial for early intervention and better treatment outcomes. Traditional detection methods …
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection
Brain tumors pose a serious neurological threat to human life, necessitating improved
detection and classification methods. Deep transfer learning (TL), in particular in key tumor …
detection and classification methods. Deep transfer learning (TL), in particular in key tumor …
Segmentation and classification of lymphoblastic leukaemia using quantum neural network
J Amin, MA Anjum, S Krivic, MI Sharif - Expert Systems, 2022 - Wiley Online Library
In lymphoblastic leukaemia (ALL), the bone marrow naturally produces immature cells. Each
year ALL is diagnosed with over 6500 instances, and the trend is still going upward …
year ALL is diagnosed with over 6500 instances, and the trend is still going upward …
Developing an efficient VGG19-based model and transfer learning for detecting acute lymphoblastic leukemia (ALL)
MY Al-khuzaie, SA Zearah… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Acute lymphoblastic leukemia (ALL) is a form of blood cancer that affects the lymphoid cells,
leading to the excessive proliferation of immature lymphocytes. A pathologist typically …
leading to the excessive proliferation of immature lymphocytes. A pathologist typically …
Research Progress in Cell Classification Detection Based on Deep Learning
D Gai, C Zhang, Y Zhang, J Guo… - 2024 IEEE 14th …, 2024 - ieeexplore.ieee.org
This paper reviews the application of deep learning in cell classification detection, highlights
the importance of convolutional neural networks in image analysis, and discusses the …
the importance of convolutional neural networks in image analysis, and discusses the …
AlexNet architecture modification to classify Acute Lymphoblastic Leukemia images
A Muntasa, RT Wahyuningrum, Z Tuzzahra… - AIP Conference …, 2024 - pubs.aip.org
Leukemia is a cancer disease that is very dangerous for human health. Therefore, it should
be we need regularly check to know whether we are infected with Leukemia or not …
be we need regularly check to know whether we are infected with Leukemia or not …
An Investigational Study of Detecting Acute Lymphoblastic Leukemia using Computer Vision
M Ashok, K Tharani, S VenkataSriram… - … Conference on Smart …, 2023 - ieeexplore.ieee.org
Among all divesting cancers, Hematologists predict that the Leukemia is mostly occur on the
children, teenagers, and young adults. Moreover 85% of cancer cases are detected younger …
children, teenagers, and young adults. Moreover 85% of cancer cases are detected younger …
Analysis of Acute Lymphoblastic Leukemia Detection Methods Using Deep Learning
This research work puts forward a comparative study of four prominent deep learning
models-ResNet, InceptionNet, MobileNet and EfficientNet—for the classification and …
models-ResNet, InceptionNet, MobileNet and EfficientNet—for the classification and …