16 citations · 45 across the 20 of their papers we have counts for
6 papers · 1 filter
DVS: Blood cancer detection using novel CNN-based ensemble approach
Md Taimur Ahad, Israt Jahan Payel, Bo Song +1
Blood cancer can only be diagnosed properly if it is detected early. Each year, more than 1.24 million new cases of blood cancer are reported worldwide. There are about 6,000 cance…
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…
Developing an efficient corpus using Ensemble Data cleaning approach
Md Taimur Ahad
Despite the observable benefit of Natural Language Processing (NLP) in processing a large amount of textual medical data within a limited time for information retrieval, a handful…