Appropriate image preprocessing could improve machine learning performance, but the
robustness of machine learning to preprocessing methods in micrograph datasets with …

The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …

Endoscopy is a widely practiced technique across the globe, utilized to envision the
gastrointestinal (GI) tract of the human body without causing harm. In GI endoscopy, images …

Addressing the urgent need for accurate COVID-19 identification and lung infection
segmentation in CT scans, our study introduces LungXpertAI, a novel Multi-Task Learning …

COVID‐19 has had a profound global impact, necessitating the development of infection
detection systems based on machine learning. This paper presents a Multi‐task architecture …

Image quality plays a vital role in improving and assessing image compression
performance. Image compression represents big image data to a new image with a smaller …

Floods, a common natural disaster, it affects more than half of all natural disasters, primarily
due to high floods, high tides, heavy rainfall, and human activity. Distinguishing between the …

Visualizing medical images is difficult due to artifacts, poor local contrast, low soft tissue
contrast, excessive noise levels, and a wide dynamic range. This has created a serious …

Since March 2020, WHO has classified COVID-19 a pandemic. This respiratory-system-
focused viral infection causes atypical pneumonia. Experts stress the necessity of early …

The accurate diagnosis of pneumonia, tuberculosis, and COVID-19 using computed
tomography (CT) images is critical for radiologists. Artificial intelligence (AI) has been …