3 papers
eess.IV2024
An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
Maksuda Akter, Rabea Khatun, Md. Alamin Talukder +2
Skin cancer is a serious and potentially fatal disease caused by DNA damage. Early detection significantly increases survival rates, making accurate diagnosis crucial. In this grou…
eess.IV2024
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
Maksuda Akter, Rabea Khatun, Md Manowarul Islam
Acute lymphoblastic leukemia (ALL) is the most malignant form of leukemia and the most common cancer in adults and children. Traditionally, leukemia is diagnosed by analyzing blood…
q-bio.GN2024
A Bioinformatic Approach Validated Utilizing Machine Learning Algorithms to Identify Relevant Biomarkers and Crucial Pathways in Gallbladder Cancer
Rabea Khatun, Wahia Tasnim, Maksuda Akter +4
Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Identifying the molecular mechanisms and biomarkers linked to GBC progression has been…