1 citations · 1 across the 4 of their papers we have counts for
4 papers
BrainFusionNet: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection
Md Taimur Ahad, Bo Song, Yan Li
The noise of Magnetic Resonance Imaging MRI poses challenges for Deep Learning DL when tumor boundaries are obscured tumor location and appearance are complex Therefore we develop…
R-Net: A Reliable and Resource-Efficient CNN for Colorectal Cancer Detection with XAI Integration
Rokonozzaman Ayon, Md Taimur Ahad, Bo Song +1
State-of-the-art (SOTA) Convolutional Neural Networks (CNNs) are criticized for their extensive computational power, long training times, and large datasets. To overcome this limit…
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 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…