Open-source deep-learning software for bioimage segmentation
نویسندگان
چکیده
منابع مشابه
Open source bioimage informatics for cell biology
Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools for the acquisition, visualization, analysis and dissemination of these datasets. These tools co...
متن کاملKNIME for Open-Source Bioimage Analysis: A Tutorial.
The open analytics platform KNIME is a modular environment that enables easy visual assembly and interactive execution of workflows. KNIME is already widely used in various areas of research, for instance in cheminformatics or classical data analysis. In this tutorial the KNIME Image Processing Extension is introduced, which adds the capabilities to process and analyse huge amounts of images. I...
متن کاملOpen Source/Open Course Learning: Lessons for Educators from Free and Open Source Software
Free/Open Source Software (FOSS) has transformed the software industry. As noted by other authors in this issue, academic information technology (IT) is already realizing many benefits by adopting open software; such benefits include reduced cost, absence of user restrictions and vendor lock-in, and consistency with traditional academic values of openness and sharing. The greatest benefit of th...
متن کاملChainer: a Next-Generation Open Source Framework for Deep Learning
Software frameworks for neural networks play key roles in the development and application of deep learning methods. However, as new types of deep learning models are developed, existing frameworks designed for convolutional neural networks are becoming less useful. In this paper, we introduce Chainer, a Pythonbased, standalone open source framework for deep learning models. Chainer provides a f...
متن کاملOpenSource GPS Open Source Software for Learning about GPS
Teaching the next generation of engineers about the inner workings of GPS receivers is difficult due to the expense of acquiring appropriate hardware and software. In the past few years a number of excellent books have been written about GPS (references 1 through 5). But, in the end students learn best by doing. Even with hardware available, trying to squeeze the development of software into a ...
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: Molecular Biology of the Cell
سال: 2021
ISSN: 1059-1524,1939-4586
DOI: 10.1091/mbc.e20-10-0660