[HTML][HTML] Amalgamation of Blockchain with resource-constrained IoT devices for Healthcare applications–State of Art, Challenges and Future Directions

P Hegde, PKR Maddikunta - … Journal of Cognitive Computing in Engineering, 2023 - Elsevier
Healthcare is an emerging sector with the integration of emerging technologies aiming to
improve Quality of Life of an individual through various medical services. Most of the …

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 …

Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization

A Abhishek, RK Jha, R Sinha, K Jha - Biomedical Signal Processing and …, 2023 - Elsevier
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 …

Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features

IA Ahmed, EM Senan, HSA Shatnawi, ZM Alkhraisha… - Diagnostics, 2023 - mdpi.com
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification

ML Claro, R de MS Veras, AM Santana, LHS Vogado… - Information …, 2022 - Elsevier
An accurate early-stage leukemia diagnosis plays a critical role in treating and saving
patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is …

Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks

ME Karar, N El-Fishawy, M Radad - Journal of Biological Engineering, 2023 - Springer
Abstract Background Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the
main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine …

Ensemble learning using Gompertz function for leukemia classification

A Abhishek, SD Deb, RK Jha, R Sinha, K Jha - … Signal Processing and …, 2025 - Elsevier
Leukemia, a life-threatening disease primarily affecting children below 15 and individuals
aged 55 and above, is characterized by the overproduction of abnormal blood cells. Timely …

Gaussian blurring technique for detecting and classifying acute lymphoblastic leukemia cancer cells from microscopic biopsy images

TG Devi, N Patil, S Rai, CS Philipose - Life, 2023 - mdpi.com
Visual inspection of peripheral blood samples is a critical step in the leukemia diagnostic
process. Automated solutions based on artificial vision approaches can accelerate this …

Utilizing deep feature Fusion for automatic leukemia classification: an Internet of Medical Things-Enabled deep learning framework

MM Islam, HR Rifat, MSB Shahid… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Acute lymphoblastic leukemia, commonly referred to as ALL, is a type of cancer that can
affect both the blood and the bone marrow. The process of diagnosis is a difficult one since it …

[HTML][HTML] An AI-Aided diagnostic framework for hematologic neoplasms based on morphologic features and medical expertise

N Li, L Fan, H Xu, X Zhang, Z Bai, M Li, S Xiong… - Laboratory …, 2023 - Elsevier
A morphologic examination is essential for the diagnosis of hematological diseases.
However, its conventional manual operation is time-consuming and laborious. Herein, we …