Hybrid inception v3 XGBoost model for acute lymphoblastic leukemia classification

S Ramaneswaran, K Srinivasan… - … Methods in Medicine, 2021 - Wiley Online Library
Acute lymphoblastic leukemia (ALL) is the most common type of pediatric malignancy which
accounts for 25% of all pediatric cancers. It is a life‐threatening disease which if left …

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 …

[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method

WH Abir, MF Uddin, FR Khanam, T Tazin… - Computational …, 2022 - Wiley Online Library
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the
immune system. They are also known as “defender cells.” But the imbalance in the number …

A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning

M Bukhari, S Yasmin, S Sammad… - Mathematical …, 2022 - Wiley Online Library
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 …

A review on leukemia detection and classification using Artificial Intelligence-based techniques

AE Aby, S Salaji, KK Anilkumar, T Rajan - Computers and Electrical …, 2024 - Elsevier
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 …

Timely diagnosis of acute lymphoblastic leukemia using artificial intelligence‐oriented deep learning methods

S Rezayi, N Mohammadzadeh… - Computational …, 2021 - Wiley Online Library
Background. Leukemia is fatal cancer in both children and adults and is divided into acute
and chronic. Acute lymphoblastic leukemia (ALL) is a subtype of this cancer. Early diagnosis …

[HTML][HTML] An attention-based convolutional neural network for acute lymphoblastic leukemia classification

M Zakir Ullah, Y Zheng, J Song, S Aslam, C Xu… - Applied Sciences, 2021 - mdpi.com
Leukemia is a kind of blood cancer that influences people of all ages and is one of the
leading causes of death worldwide. Acute lymphoblastic leukemia (ALL) is the most widely …

[HTML][HTML] An efficient strategy for blood diseases detection based on grey wolf optimization as feature selection and machine learning techniques

NM Sallam, AI Saleh, H Arafat Ali, MM Abdelsalam - Applied Sciences, 2022 - mdpi.com
Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …

C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset

R Gupta, S Gehlot, A Gupta - Medical Engineering & Physics, 2022 - Elsevier
Abstract Development of computer-aided cancer diagnostic tools is an active research area
owing to the advancements in deep-learning domain. Such technological solutions provide …

[HTML][HTML] Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images

AS Mohammed, AA Hasanaath, G Latif, A Bashar - Diagnostics, 2023 - mdpi.com
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …