Computer based diagnosis of some chronic diseases: a medical journey of the last two decades

S Malakar, SD Roy, S Das, S Sen… - … Methods in Engineering, 2022 - Springer
Disease prediction from diagnostic reports and pathological images using artificial
intelligence (AI) and machine learning (ML) is one of the fastest emerging applications in …

Symptom based explainable artificial intelligence model for leukemia detection

MA Hossain, AKMM Islam, S Islam, S Shatabda… - IEEE …, 2022 - ieeexplore.ieee.org
Leukemia is not only fatal in nature, it is also extremely expensive to treat. However,
leukemia detection at early stage can save lives and money of the affected people, specially …

[PDF][PDF] Neural network classification of white blood cell using microscopic images

MZ Othman, TS Mohammed… - International Journal of …, 2017 - pdfs.semanticscholar.org
With the technological advances in medical field, the need for faster and more accurate
analysis tools becomes essential for better patients' diagnosis. In this work, the image …

[PDF][PDF] Classification of acute leukaemia cells using multilayer perceptron and simplified fuzzy ARTMAP neural networks

AA Nasir, MY Mashor, R Hassan - The International Arab Journal of …, 2013 - ccis2k.org
Leukaemia is a cancer of blood that causes more death than any other cancers among
children and young adults under the age of 20. This disease can be cured if it is detected …

Automatic acute lymphoblastic leukemia detection and comparative analysis from images

MNQ Bhuiyan, SK Rahut, RA Tanvir… - 2019 6th International …, 2019 - ieeexplore.ieee.org
In this era, surrounded by numerous technologies, medical sector has seen a lot of
advancement through implementing various autonomous systems to identify different types …

Evaluation of strength characteristics of soil stabilized with nano zinc oxide—cement mixes for low volume road applications

PP Kulkarni, JN Mandal - International Journal of Geosynthetics and …, 2022 - Springer
Stabilization of weak soils for road infrastructural applications is a challenging task. Such
soils if properly stabilized with innovative technologies, could be adopted in sub-base …

Leukemia detection mechanism through microscopic image and ML techniques

MA Hossain, MI Sabik, I Muntasir… - 2020 IEEE REGION …, 2020 - ieeexplore.ieee.org
It is reported that since 2016 there are over sixty thousand diagnosed cases of Leukemia in
the United States of America alone. It also suggests that Leukemia is the most common type …

Distinguish normal white blood cells from leukemia cells by detection, classification, and counting blood cells using YOLOv5

DT Luong, DD Anh, TX Thang… - 2022 7th National …, 2022 - ieeexplore.ieee.org
Leukemia is a group of blood cancers that usually begin in the bone marrow and result in
high numbers of abnormal blood cells. Distinguishing normal white blood cells from …

A comparison study of data mining algorithms for blood cancer prediction

NB Tayfor, SJ Mohammed - Passer Journal of Basic and …, 2021 - passer.garmian.edu.krd
Cancer is a common disease that threats the life of one of every three people. This
dangerous disease urgently requires early detection and diagnosis. The recent progress in …

A statistical approach to classify the leukemia patients from generic gene features

EU Alam, S Banik, L Chowdhury - … International Conference on …, 2020 - ieeexplore.ieee.org
Classifying the Leukemia patient is very important in clinical diagnosis and further treatment.
Leukemia cancer is classified based on how fast it is spreading and has four different types …