Nabil Ibtehaz, M. Sohel Rahman
In recent years Deep Learning has brought about a breakthrough in Medical Image Segmentation. In this regard, U-Net has been the most popular architecture in the medical imaging community. Despite outstanding overall performance in segmenting multimodal medical images, through extensive experimentat...
Emtiaz Hussain, Mahmudul Hasan, Anisur Rahman, Ickjai Lee et al.
Highlights • A 22-layer CNN architecture, which has achieved an accuracy of 99.1% for 2 class classification, 94.2% for 3 class classification, and 91.2% for 4 class classification. To the best of our knowledge, the accuracy of our proposed CoroDet method is higher than the state-of-the-art method f...
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, Md. Razaul Karim et al.
Detection and Classification of a brain tumor is an important step to better understanding its mechanism. Magnetic Reasoning Imaging (MRI) is an experimental medical imaging technique that helps the radiologist find the tumor region. However, it is a time taking process and requires expertise to tes...
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, Shamim Al Mamun et al.
Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an important role in understanding brain functionalities and its disorders during the last couple of decades. These cutting-edge MRI scans, supported by high-performance computational tools and novel ML techniques, have o...
Tonmoy Hossain, Fairuz Shadmani Shishir, Mohsena Ashraf, MD Abdullah Al Nasim et al.
Brain Tumor segmentation is one of the most crucial and arduous tasks in the terrain of medical image processing as a human-assisted manual classification can result in inaccurate prediction and diagnosis. Moreover, it is an aggravating task when there is a large amount of data present to be assiste...
Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim et al.
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification i...
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, Aisha B Rahman et al.
Brain is the controlling center of our body. With the advent of time, newer and newer brain diseases are being discovered. Thus, because of the variability of brain diseases, existing diagnosis or detection systems are becoming challenging and are still an open problem for research. Detection of bra...
Mohammad Shahjahan Majib, Md. Mahbubur Rahman, T. M. Shahriar Sazzad, Nafiz Imtiaz Khan et al.
A brain tumor is a life-threatening neurological condition caused by the unregulated development of cells inside the brain or skull. The death rate of people with this condition is steadily increasing. Early diagnosis of malignant tumors is critical for providing treatment to patients, and early dis...
Atika Akter, Nazeela Nosheen, Sabbir Ahmed, Mariom Hossain et al.
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment options, while accurate classification and segmentation of brain tumors are vital for developing personalized treatment strategies. Despite the widespread use of Magnetic Resonance Imaging (MRI) for brain exami...
Sunanda Das, O. F. M. Riaz Rahman Aranya, Nishat Nayla Labiba
Medical image classification has gained tremendous attention in recent years, and Convolutional Neural Network (CNN) is the most widespread neural network model for image classification problem. CNN is designed to determine features adaptively through backpropagation by applying numerous building bl...
Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, Mamoun Alazab et al.
The abnormal growth of malignant or nonmalignant tissues in the brain causes long-term damage to the brain. Magnetic resonance imaging (MRI) is one of the most common methods of detecting brain tumors. To determine whether a patient has a brain tumor, MRI filters are physically examined by experts a...
Aditya Khamparia, Subrato Bharati, Prajoy Podder, Deepak Gupta et al.
Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer. Modified VGG ...
Tahia Tazin, Md Nur Alam, Nahian Nakiba Dola, Mohammad Sajibul Bari et al.
Stroke is a medical disorder in which the blood arteries in the brain are ruptured, causing damage to the brain. When the supply of blood and other nutrients to the brain is interrupted, symptoms might develop. According to the World Health Organization (WHO), stroke is the greatest cause of death a...
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...
Minhaz Uddin Emon, Maria Sultana Keya, Tamara Islam Meghla, Md. Mahfujur Rahman et al.
Most of strokes will occur due to an unexpected obstruction of courses by prompting both the brain and heart. Early awareness for different warning signs of stroke can minimize the stroke. This research work proposes an early prediction of stroke diseases by using different machine learning approach...