Author: Aggregated News

Abstract Early detection of the adenocarcinoma cancer in colon tissue by means of explainable deep learning, by classifying histological images and providing visual explainability on model prediction. Considering that in recent years, deep learning techniques have emerged as powerful techniques in medical image analysis, offering unprecedented accuracy and efficiency, in this paper we propose a method to automatically detect the presence of cancerous cells in colon tissue images. Various deep learning architectures are considered, with the aim of considering the best one in terms of quantitative and qualitative results. As…

In a recent paper posted to the preprint repository medRxiv*, researchers investigated the potential of using deep learning algorithms for automating pneumonia detection from chest X-ray images. They compared various deep learning techniques to evaluate their effectiveness and potential use in clinical settings, aiming to enhance the reliability and accessibility of diagnostic practices. Study: Deep Learning for Pneumonia Detection in Pediatric Chest X-rays. Image Credit: Tewan Banditrakkanka/Shutterstock.com Background Related Stories Pneumonia is a significant global health concern, causing significant illness and mortality rates worldwide. Traditionally, diagnosing pneumonia relies on manual…

1 Introduction According to the World Health Organization (2022), approximately 55 million individuals are now affected by dementia—a number expected to rise to 78 million by the year 2030. Alzheimer’s disease (AD)—the most prevalent type of dementia – accounts for around 60–70% of the overall number of cases (World Health Organization, 2022). The underlying cause of AD is linked to the abnormal accumulation of specific proteins in the brain, including beta-amyloid plaques (Jack et al., 2018). These plaques are insoluble and toxic to brain cells (Masters and Selkoe, 2012). Additionally,…