Takowa Rahman, Md. Saiful Islam
Convolutional neural network (CNN) is widely used to classify brain tumors with high accuracy. Since CNN collects features randomly without knowing the local and global features and causes overfitting problems, this research proposes a novel parallel deep convolutional neural network (PDCNN) topolog...
Takowa Rahman, Md. Saiful Islam, Jia Uddin
Brain tumors are frequently classified with high accuracy using convolutional neural networks (CNNs) to better comprehend the spatial connections among pixels in complex pictures. Due to their tiny receptive fields, the majority of deep convolutional neural network (DCNN)-based techniques overfit an...
Takowa Rahman, Md. Saiful Islam
A brain tumor is one of the most complex disorders that occurs when the brain cells begin to grow uncontrollably. The biggest issue before starting treatment is detecting and classifying tumors from brain magnetic resonance imaging (MRI) scans. For ages, researchers have worked hard to develop the b...
Takowa Rahman, Md. Saiful Islam
The purpose of segmentation is to depict an original picture in something easier to interpret. Generally, in image processing watershed algorithm is used essentially for segmentation purposes which is fast and simple method and requires low computation time. But, it has disadvantages causing excessi...
Takowa Rahman, Saiful Islam, Jia Uddin
Brain tumors are frequently classified with high accuracy using convolutional neural networks (CNNs) and better comprehend the spatial connections among pixels in complex pictures. Due to their tiny receptive fields, the majority of deep convolutional neural network (DCNN)-based techniques overfit a...