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...
Zhahirul Islam, Bart C. Jacobs, Alex van Belkum, Quazi Deen Mohammad et al.
BACKGROUND: Campylobacter jejuni enteritis is the predominant bacterial infection preceding Guillain-Barré syndrome (GBS), an acute postinfectious immune-mediated polyradiculoneuropathy. The purpose of this study was to define the clinical phenotype of GBS and the relation with preceding C jejuni in...
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...
Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter et al.
Brain tumors are among the most fatal and devastating diseases, often resulting in significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to devise treatment plans that can extend the lives of affected individuals. Manually identifying and analyzing large volumes of ...
Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, AKM Azad et al.
The brain tumor is one of the deadliest cancerous diseases and its severity has turned it to the leading cause of cancer related mortality. The treatment procedure of the brain tumor depends on the type, location and size of the tumor. Relying solely on human inspection for precise categorization ca...
Nadim Mahmud Dipu, Sifatul Alam Shohan, K. M. A. Salam
One of the most crucial tasks of neurologists and radiologists is early brain tumor detection. However, manually detecting and segmenting brain tumors from Magnetic Resonance Imaging (MRI) scans is challenging, and prone to errors. That is why an automated brain tumor detection system is required fo...
F. M. Javed Mehedi Shamrat, Shamima Akter, Sami Azam, Asif Karim et al.
Alzheimer’s disease is largely the underlying cause of dementia due to its progressive neurodegenerative nature among the elderly. The disease can be divided into five stages: Subjective Memory Concern (SMC), Mild Cognitive Impairment (MCI), Early MCI (EMCI), Late MCI (LMCI), and Alzheimer’s Disease...
Henry Epstein, H. W. Linde, A. R. Crompton, I. S. Cine et al.
Cerebral venous outflow in rhesus monkeys anesthetized with halothane has been studied by angiographic techniques. The effects of body position and pressure within the airway have been studied. With the monkey supine, injection of radiopaque contrast medium into the superior sagittal sinus permitted
Md Khairul Islam, Md Shahin Ali, Md Sipon Miah, Mahbubur Rahman et al.
In the present era, human brain tumor is the extremist dangerous and devil to the human being that leads to certain death. Furthermore, the brain tumor arises more complexity of patients life with time. As a result, early detection of tumors is most crucial to save and prolong the patient’s lifetime...
Michael Lawton, Yoav Ben‐Shlomo, Margaret May, Fahd Baig et al.
Objectives To use a data-driven approach to determine the existence and natural history of subtypes of Parkinson’s disease (PD) using two large independent cohorts of patients newly diagnosed with this condition. Methods 1601 and 944 patients with idiopathic PD, from Tracking Parkinson’s and Discove...
Md Shahariar Alam, Md Mahbubur Rahman, Mohammad Amzad Hossain, Md Khairul Islam et al.
In recent decades, human brain tumor detection has become one of the most challenging issues in medical science. In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM) algorithm for detecting human brain tumors in a magnetic resonance imaging (M...
Tatsuo Miyamoto, Kazumasa Morita, Daisuke Takemoto, Kosei Takeuchi et al.
Tight junction (TJ)-like structures have been reported in Schwann cells, but their molecular composition and physiological function remain elusive. We found that claudin-19, a novel member of the claudin family (TJ adhesion molecules in epithelia), constituted these structures. Claudin-19-deficient ...
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan et al.
Identification of brain tumors and accurate grading at an early stage are crucial in cancer diagnosis, as a timely diagnosis can increase the chances of survival. Considering the challenges and risks of tumor biopsies, noninvasive imaging procedures such as Magnetic Resonance Imaging (MRI) are exten...
Qian Zhou, Ying Zhang, Lu Lu, Hu Zhang et al.
The epidemiological correlation between copper exposure and higher risk of Parkinson disease (PD) has been recognized for a long time, and microglia-mediated neuroinflammation has reported to be an important component of the pathogenesis of PD. The present study aimed to investigate the role of micr...