Deep convolutional neural networks (DCNNs) are one of the most advanced techniques for
classifying images in a range of applications. One of the most prevalent cancers that cause …

Purpose The prevalence of breast cancer continues to be a major public health concern.
Timely detection is vital for effective treatment and patient survival. In order to appropriately …

COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries,
affecting millions, costing billions, and claiming nearly 2 million lives since late 2019. This …

Blood cells are considered one of the most significant elements in the human body. The
study demonstrates a precise hybrid deep-learning model combined with EfficientNetB6 and …

This article explores the use of deep learning (DL), specifically Convolutional Neural
Networks (CNNs), for the early detection of breast cancer (BC). Traditional methods of breast …

Bone image analysis and categorizing bone cancers have both seen advancements thanks
to deep learning (DL), more notably convolution neural networks (CNN). This study suggests …

Economic needs are community needs that are used to meet daily needs. Therefore,
economic needs are very important for the life of every society. There is a gap in the …

COVID-19 is an emergency problem that is being widely discussed in the world, one of
which is the deep learning-based COVID-19 detection method which has been developed …

Multiple choice questions (MCQ) are effective in normative assessment and offline testing is
still relevant due to the lack of efficient mass infrastructures and maintenance. For the …

Breast cancer continues to be a significant global health issue that greatly affects the well-
being of people worldwide. Detecting breast cancer early is vital for improving the outcomes …