With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …

Featured Application Enhancing Clinical Diagnosis through the Integration of Deep
Learning Techniques in Medical Image Recognition. This comprehensive review highlights …

For early detection of cancer tumors, the semantic segmentation based technique is
proposed because the existing numerous methods fail while classifying due to accuracy and …

These days, the ratio of cancer diseases among patients has been growing day by day.
Recently, many cancer cases have been reported in different clinical hospitals. Many …

The digital healthcare paradigm has significantly improved based on distributed fog and
cloud networks for cancer detection with multiple classes in recent years. The paradigm …

Pulmonary disease identification and characterization are among the most intriguing
research topics of recent years since they require an accurate and prompt diagnosis …

The classification of medical images is crucial in the biomedical field, and despite attempts
to address the issue, significant challenges persist. To effectively categorize medical …

The digitization of variety identification is of great importance for the improvement of farming
practices in date fruit production. In this study, we have developed a hybrid approach called …

The use of the deep Convolutional Neural Network (CNN) in breast cancer classification of
mammogram images has been widely investigated to aid radiologists in better clinical …

Breast cancer is the most common type of cancer among women worldwide. If diagnosed by
a doctor in the early stages, it can save the patient's life. Ultrasound imaging is one of the …