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 ...
Ritu Aggarwal, Prajoy Podder, Aditya Khamparia
Prajoy Podder, Aditya Khamparia, M. Rubaiyat Hossain Mondal, Mohammad Atikur Rahman et al.
Since December 2019, the world is fighting against coronavirus disease (COVID-19). This disease is caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This work focuses on the applications of machine learning algorithms in the context of COVID-19. Fi...
Prajoy Podder, Aditya Khamparia, M. Rubaiyat Hossain Mondal, Mohammad Atikur Rahman et al.
Since December 2019, the world is fighting against coronavirus disease (COVID-19). This disease is caused by a novel coronavirus termed as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This work focuses on the applications of machine learning algorithms in the context of COVID-19. Fi...
Sanjay Kumar Singh, Perumalla Murali Mallikarjuna Rao, Aditya Khamparia, Bharat Bhushan et al.
AIMS: Early detection of breast cancer has reduced many deaths. Earlier CAD systems used to be the second opinion for radiologists and clinicians. Machine learning and deep learning have brought tremendous changes in medical diagnosis and imagining. BACKGROUND: Breast cancer is the most commonly occ...
Prajoy Podder, Subrato Bharati, M. Rubaiyat Hossain Mondal, Aditya Khamparia
Aditya Khamparia, Babita Pandey, Fadi Al‐Turjman, Prajoy Podder
Abstract Osteoarthritis and rheumatoid are most common form of arthritis disorder, affecting millions of people worldwide. This article presents a computer aided detection system (CAD) for early knee osteoarthritis and rheumatoid detection using X‐ray images and machine learning classifiers. This wo...