منابع مشابه
RECOD Titans at ISIC Challenge 2017
Our team has worked on melanoma classification since early 2014 [1], and has employed deep learning with transfer learning for that task since 2015 [2]. Recently, the community has started to move from traditional techniques towards deep learning, following the general trend of computer vision [3]. Deep learning poses a challenge for medical applications, due to the need of very large training ...
متن کاملThe Diamond Project at Gsi - Perspectives
Heavy-ion experiments at GSI cover nuclear and atomic physics, related basic and applied research in plasma physics and material science as well as biophysics including tumor therapy with carbon ions. After low-energy sections, the heavy-ion synchrotron (SIS) provides pulsed, cooled ion beams up to 2 GeV/amu of beam intensities up to 10 ions/spill. All kind of ions from protons with Z=1 to U io...
متن کاملMarch of the Titans: The Locomotor Capabilities of Sauropod Dinosaurs
Sauropod dinosaurs are the largest terrestrial vertebrate to have lived on Earth. This size must have posed special challenges for the musculoskeletal system. Scaling theory shows that body mass and hence the loads that must be overcome increases with body size more rapidly than either the ability of the muscles to generate force, or the ability of the skeleton to support these loads. Here we d...
متن کاملAPOBEC3 versus Retroviruses, Immunity versus Invasion: Clash of the Titans
Since the identification of APOBEC3G (A3G) as a potent restriction factor of HIV-1, a tremendous amount of effort has led to a broadened understanding of both A3G and the APOBEC3 (A3) family to which it belongs. In spite of the fine-tuned viral counterattack to A3 activity, in the form of the HIV-1 Vif protein, enthusiasm for leveraging the Vif : A3G axis as a point of clinical intervention rem...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Geological Society of India
سال: 2019
ISSN: 0016-7622,0974-6889
DOI: 10.1007/s12594-019-1335-1