Md. Nazmul Hossen, Vijayakumari Panneerselvam, Deepika Koundal, Kawsar Ahmed et al.
Human skin disease, the most infectious dermatological ailment globally, is initially diagnosed by sight. Some clinical screening and dermoscopic analysis of skin biopsies and scrapings for accurate classification are medically compulsory. Classification of skin diseases using medical images is more...
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...
Zillur Rahman, Md. Sabir Hossain, Md. Rabiul Islam, Md. Mynul Hasan et al.
Skin cancer is recognized as the most common kind of cancer in the world. It could be deadly if not identified at the primary stage, which makes early detection very crucial. It is possible to identify it with the naked eye, but high inter-class similarity and intra-class variations make it too hard...
Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, Partho Ghose
Breast cancer is a prevalent and life-threatening disease that requires effective detection and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine learning (ML) techniques have emerged as powerful tools in breast cancer detection, offering benefits such as improved accurac...
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...
Sharmin Ara, Annesha Das, Ashim Dey
At the moment, the most prevalent form of cancer diagnosed in women across the globe is breast cancer. It develops in the breast tissue and is one of the most frequent causes of women's death. This cancer can be cured if it is diagnosed at preliminary stage. Malignant and benign are two types of tum...
Sajib Kabiraj, M. Raihan, Nasif Alvi, Marina Afrin et al.
Breast cancer is as one of the common and serious cause of death among women globally. This is a disease where the cells grow out of control inside the breast. Family History of cancer disease, physical inactivity, psychological stress, increase in breast size are the risk factors of breast cancer. ...
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang
The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion analysis is an emerging field of research that has the potential to alleviate the burden and cost of skin cancer screening. Researchers have recently indicated increasing interest in developing such CAD systems, with the intent...
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...
Mahamudul Hasan, Surajit Das Barman, Samia Islam, Ahmed Wasif Reza
Skin cancer is an alarming disease for mankind. The necessity of early diagnosis of the skin cancer have been increased because of the rapid growth rate of Melanoma skin cancer, itś high treatment costs, and death rate. This cancer cells are detected manually and it takes time to cure in most of the...
Showrov Islam, M Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim et al.
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including medical imaging. In healthcare, GANs contribute by ...
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...
Md. Sarwar Kamal, Aden Northcote, Linkon Chowdhury, Nilanjan Dey et al.
There are more than 10 million new cases of Alzheimer's patients worldwide each year, which means there is a new case every 3.2 s. Alzheimer's disease (AD) is a progressive neurodegenerative disease and various machine learning (ML) and image processing methods have been used to detect it. In this s...
Md. Robiul Islam, Md. Nahiduzzaman
Recently the most infectious disease is the novel Coronavirus disease (COVID 19) creates a devastating effect on public health in more than 200 countries in the world. Since the detection of COVID19 using reverse transcription-polymerase chain reaction (RT-PCR) is time-consuming and error-prone, the...
Tanjim Mahmud, Koushick Barua, Sultana Umme Habiba, Nahed Sharmen et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of individuals worldwide, causing severe cognitive decline and memory impairment. The early and accurate diagnosis of AD is crucial for effective intervention and disease management. In recent years, deep lear...