A paper published today in the Journal of Medical Imaging - "DeepLesion: Automated mining of large-scale lesion annotations and universal lesion detection with deep learning," -- announced the open availability of the largest CT lesion-image database accessible to the public. Such data are the foundations for the training sets of machine-learning algorithms; until now, large-scale annotated radiological image datasets, essential for the development of deep learning approaches, have not been publicly available.
A new improvement to a programming technique called 'lazy grounding' could solve hard-set and complex issues in freight logistics, routing and power grids by drastically reducing computation times.
It has long been argued that social science perspectives have a great deal to offer the world of global public health. A new paper, published this week in PLOS Neglected Tropical Diseases, lays out an accessible and actionable socio-anthropological framework for understanding the effectiveness factors of neglected tropical disease (NTD) interventions.
Working to address 'hotspots' in computer chips that degrade their performance, UCLA engineers have developed a new semiconductor material, defect-free boron arsenide, that is more effective at drawing and dissipating waste heat than any other known semiconductor or metal materials.
Article describes simulation of mechanism that eliminates sawtooth instabilities in fusion plasmas.
A time-resolved fluorescence resonance energy transfer-based BTK occupancy assay measures target engagement in peripheral blood mononuclear cells (PBMCs) and in lymph-node and bone-marrow samples.
Scientists have long known that RNA encodes instructions to make proteins. The building blocks that comprise RNA--A, U, C, and Gs--form a blueprint for the protein-making machinery in cells. In a new study published in Nature, scientists describe how the protein-making machinery identifies alternative initiation sites from which to start protein synthesis.
Sound waves reveal a surprisingly large diamond cache deep in Earth's interior, an international team including MIT researchers reports.
Your torso is more intuitive -- and more precise -- than joysticks for piloting drones, both simulated and real, according to a recent study by EPFL scientists. Work is already underway to implement this new body-machine-interface technology for search and rescue with drones.
A new study by MIT and others proves Einstein is right again. The most thorough test yet finds no Lorentz violation in high-energy neutrinos.