Precise delineation of the liver is essential for effective diagnosis and treatment planning in hepatocellular carcinoma, yet current clinical practices rely heavily on manual annotation, which is both inefficient and susceptible to human error. In t... read more
Script writing has become a labor-intensive process, especially when tailored to specific scene setting, culture or character. Recent advancements in the field of Natural Language Processing and Deep Learning algorithms have made it possible to autom... read more
Ancient populations inhabited and transformed neotropical forests, yet the spatial extent of their ecological influence remains underexplored at high resolution. Here we present a deep learning and remote sensing based approach to estimate areas of p... read more
Containers, as a lightweight technology for virtualizing applications, have recently revolutionized the management of cloud applications. Containers can be scaled up or down rapidly and easily depending on the workload. Predicting workload is crucial... read more
UNLABELLED: The discharge of synthetic dyes into aquatic ecosystems poses a critical threat to environmental and human health, necessitating urgent, cost-effective, and sustainable remediation strategies. This study addresses a practical yet underexp... read more
Herbs have long been integral to various health and medicinal benefits. Identifying the correct herb species from thousands of diverse options is a laborious and time-consuming process. To address this issue, an automated computer vision system that ... read more
For monitoring marine biodiversity and observing the health of reefs, it's important to be able to accurately see coral morphology in underwater images. Present approaches for finding underwater objects still have problems because light can be absorb... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.