3 papers
eess.IV2024
A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
Md Taimur Ahad, Sumaya Mustofa, Faruk Ahmed +2
In deep learning, transfer learning and ensemble models have shown promise in improving computer-aided disease diagnosis. However, applying the transfer learning and ensemble model…
eess.IV2024
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
Sabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon +2
Acute lymphoblastic leukaemia (ALL) is a blood malignancy that mainly affects adults and children. This study looks into the use of deep learning, specifically Convolutional Neural…
cs.CV2024
A Semantic Segmentation Approach on Sweet Orange Leaf Diseases Detection Utilizing YOLO
Sabit Ahamed Preanto, Md. Taimur Ahad, Yousuf Rayhan Emon +2
This research introduces an advanced method for diagnosing diseases in sweet orange leaves by utilising advanced artificial intelligence models like YOLOv8 . Due to their significa…