Juan Shan, S. Kaisar Alam, Brian S. Garra, Yingtao Zhang et al.
This work identifies effective computable features from the Breast Imaging Reporting and Data System (BI-RADS), to develop a computer-aided diagnosis (CAD) system for breast ultrasound. Computerized features corresponding to ultrasound BI-RADs categories were designed and tested using a database of ...
Md. Belal Hossain, Shahriar Iqbal, Md. Monirul Islam, Md. Nasim Akhtar et al.
COVID-19 cases are putting pressure on healthcare systems all around the world. Due to the lack of available testing kits, it is impractical for screening every patient with a respiratory ailment using traditional methods (RT-PCR). In addition, the tests have a high turn-around time and low sensitiv...
Shamima Akter, F. M. Javed Mehedi Shamrat, Sovon Chakraborty, Asif Karim et al.
COVID-19, regarded as the deadliest virus of the 21st century, has claimed the lives of millions of people around the globe in less than two years. Since the virus initially affects the lungs of patients, X-ray imaging of the chest is helpful for effective diagnosis. Any method for automatic, reliab...
Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim, Md. Mohsin Kabir et al.
Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the medical domain, deep learning-based data augmenta...
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan
Cancer is a problematic global health issue with an extremely high fatality rate throughout the world. The application of various machine learning techniques that have appeared in the field of cancer diagnosis in recent years has provided meaningful insights into efficient and precise treatment deci...
Mohammad Badrul Alam Miah, Mohammad Abu Yousuf
Detection of lung cancer is the most interesting research area of researcher's in early stages. The proposed system is designed to detect lung cancer in premature stage in two stages. The proposed system consists of many steps such as image acquisition, preprocessing, binarization, thresholding, seg...
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar et al.
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using E...
Md. Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter et al.
Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID...
Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Samrat Kumar Dey
Breast cancer disease is recognized as one of the leading causes of death in women worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops from breast cells. Developed and less developed countries both are suffering from this extensive cancer. This cancer can be recup...
Sohaib Asif, Wenhui Yi, Jin Hou, Yi Tao et al.
Abstract The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. A vital step in the combat towards COVID-19 is a successful screening of contaminated patients, with one of the key screening approaches being radiological imaging using chest...
Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, Md. Ashraf Uddin et al.
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around ident...
Laboni Sarker, Md. Mohaiminul Islam, Tanveer Hannan, Zakaria Ahmed
Coronavirus disease (COVID-19) is a pandemic infectious disease that has a severe risk of spreading rapidly. The quick identification and isolation of the affected persons is the very first step to fight against this virus. In this regard, chest radiology images have been proven to be an effective s...
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Ashfia Jannat Keya et al.
Breast cancer is now the most frequently diagnosed cancer in women, and its percentage is gradually increasing. Optimistically, there is a good chance of recovery from breast cancer if identified and treated at an early stage. Therefore, several researchers have established deep-learning-based autom...
I. G. Finlay, David Meek, Helen Gray, J. G. Duncan et al.
Isotope liver scan, ultrasonography, and computed tomography of the liver were performed during the postoperative period in 43 consecutive patients undergoing laparotomy for colorectal carcinoma. Obvious hepatic metastases were detected in six patients at the time of surgery. Eleven patients conside...
Saikat Islam Khan, Ashef Shahrior, Md. Razaul Karim, Mahmodul Hasan et al.
Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is costly, time-consuming, and disagreements among specialists. Nowadays, the advancement of the Computer-Aided Diagnosis (CAD) system allows pathologists to identify breast cancer more reliably and quickly.For this...