2 citations · 3 across the 4 of their papers we have counts for
4 papers
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…
A comprehensive study on Blood Cancer detection and classification using Convolutional Neural Network
Md Taimur Ahad, Sajib Bin Mamun, Sumaya Mustofa +2
Over the years in object detection several efficient Convolutional Neural Networks (CNN) networks, such as DenseNet201, InceptionV3, ResNet152v2, SEresNet152, VGG19, Xception gaine…
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…
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…