Knee osteoarthritis (OA) is a chronic disorder mainly arising from age-related factors
affecting the knee joints. Its diagnosis is critically important and is usually done by medical …

Handwritten prescriptions and radiological reports: doctors use handwritten prescriptions
and radiological reports to give drugs to patients who have illnesses, injuries, or other …

Smart cities aim to enhance the quality of life for urban dwellers through technological
advancements. Machine Learning (ML) plays a crucial role in various domains of Smart X …

In recent years, a severe pandemic has struck worldwide with the utmost shutter, enforcing a
lot of stress in the medical industry. Moreover, the increasing population has brought to light …

Manual lymph node classification is a tedious and time-consuming task. It requires a
histopathologist to discriminate a lymph node from other look-alike kinds of tissues. The …

Early diagnosis is crucial for the treatment of breast cancer, the most prevalent disease in
women globally. Segmenting cancer cells from photographs of breast tissue is an important …

Image classification accuracy is the total number of images predicted correctly out of the total
images in the test dataset in the field of computer vision. Classifying the images accurately is …

In the twenty-first century, significant advancements in the field of computer vision facilitated
a surge in the application of image classification in different industries. This work proposes …

This paper presents a thorough review of Machine Learning (ML) model used in medical
image segmentation. The medical image segmentation is a critical task in clinical practice …