Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …

Skin cancer is a significant global health concern, with its early detection and diagnosis
playing a pivotal role in improving patient health outcomes. In recent years, artificial …

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 …

Accurate and efficient lung and colon cancer classification is vital for early detection and
treatment planning. Traditional methods require manual effort and expert analysis, leading …

Cancer is a significant public health issue due to its high prevalence and lethality,
particularly lung and colon cancers, which account for over a quarter of all cancer cases …

Lung and colon cancers are significant health issues across the world, prompting the need
for inventive methods of diagnosis. This study takes the lead in introducing advanced Deep …

Emotion recognition is a challenging task, but it has many potential applications in areas
such as human–computer interaction, healthcare, and marketing. The capacity to record in …

In medicine, early detection of lung cancer is essential for successful treatment regimens.
Despite the small sample size, cancer databases often include gene expression levels as …

Lung cancer, a pervasive and life-threatening ailment, necessitates early and precise
diagnosis. This research endeavors to employ Convolutional Neural Networks (CNNs) to …