[HTML][HTML] Curcumin and its novel formulations for the treatment of hepatocellular carcinoma: new trends and future perspectives in cancer therapy

SM Meybodi, P Rezaei, N Faraji… - Journal of Functional …, 2023 - Elsevier
Hepatocellular carcinoma (HCC), as a common malignancy of the liver, is the second
leading cause of cancer-related death in the world and mostly occurs in patients with a …

Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas

M Hamdi, EM Senan, ME Jadhav, F Olayah, B Awaji… - Diagnostics, 2023 - mdpi.com
Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …

Automatic detection of acute leukemia (ALL and AML) utilizing customized deep graph convolutional neural networks

L Zare, M Rahmani, N Khaleghi, S Sheykhivand… - Bioengineering, 2024 - mdpi.com
Leukemia is a malignant disease that impacts explicitly the blood cells, leading to life-
threatening infections and premature mortality. State-of-the-art machine-enabled …

[HTML][HTML] A Review of Deep Learning Techniques for Leukemia Cancer Classification Based on Blood Smear Images

RF Oybek Kizi, TP Theodore Armand, HC Kim - Applied Biosciences, 2025 - mdpi.com
This research reviews deep learning methodologies for detecting leukemia, a critical cancer
diagnosis and treatment aspect. Using a systematic map** study (SMS) and systematic …

A Novel Self‐Attention Transfer Adaptive Learning Approach for Brain Tumor Categorization

T Shawly, AA Alsheikhy - International Journal of Intelligent …, 2024 - Wiley Online Library
Brain tumors cause death to a lot of people globally. Brain tumor disease is seen as one of
the most lethal diseases since its mortality rate is high. Nevertheless, this rate can be …

Detection of chronic lymphocytic leukemia using Deep Neural Eagle Perch Fuzzy Segmentation–A novel comparative approach

A Ashwini, SR Sriram, JJJ Sheela - Biomedical Signal Processing and …, 2024 - Elsevier
With a high mortality rate worldwide, Chronic Lymphocytic Leukemia (CLL) poses a serious
health risk. Radiologists view the ability to detect blood tumor cells as both important and …

A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods

AM Rahmani, P Khoshvaght, H Alinejad-Rokny… - arxiv preprint arxiv …, 2024 - arxiv.org
Acute lymphoblastic leukemia (ALL) severity is determined by the presence and ratios of
blast cells (abnormal white blood cells) in both bone marrow and peripheral blood. Manual …

A Comprehensive Assessment and Classification of Acute Lymphocytic Leukemia

P Bose, S Bandyopadhyay - Mathematical and Computational …, 2024 - mdpi.com
Leukemia is a form of blood cancer that results in an increase in the number of white blood
cells in the body. The correct identification of leukemia at any stage is essential. The current …