Automatic classification of colon and lung cancer images is crucial for early detection and
accurate diagnostics. However, there is room for improvement to enhance accuracy …

Cancer is more alarming in modern days due to its identification at later stages. Among
cancers, lung, liver and colon cancers are the leading cause of untimely death. Manual …

Retina turns light into pictures and sends messages to the brain. A retinal disease might
lead to vision loss or blindness due to eye illness, ocular trauma, or other disorders. Diabetic …

The medical community has more concern on lung cancer analysis. Medical experts'
physical segmentation of lung cancers is time-consuming and needs to be automated. The …

Colon and Lung cancers are two of the most common causes of mortality in adults. They
may simultaneously form in organs and have a detrimental effect on human life. There is a …

The super‐resolution (SR) reconstruction of a single image is an important image synthesis
task especially for medical applications. This paper is studying the application of image …

The classification of skin lesions is crucial because it increases the likelihood that malignant
skin lesions will be discovered early on, allowing for more effective treatment. Due to the …

Lung and colon cancers are deadly diseases that can develop concurrently in organs and
undesirably affect human life in some special cases. The detection of these cancers from …

Access to a large dataset is necessary to improve disease detection with excellent accuracy.
However, due to data confidentiality and privacy restrictions, collecting data from hospitals or …

Lung cancer is characterized by high mortality and incidence rates, making it one of the most
prevalent cancers globally. Early detection significantly improves the chances of survival for …