作者: Isha Agarwal , Rajkumar Kolakaluri , Michael Dorin , Mario Chong
DOI: 10.1007/978-3-030-46140-9_8
关键词:
摘要: Machine learning has advanced substantially in the past few years, and there are many generic solutions freely available to classify text images. The so straightforward set up run that having a software background is no longer necessary perform machine experimentation. These systems being adapted ways, it seems only natural those medical field may wish see how might help with their research. This research examines if off-the-shelf suitable for by professionals who do not have backgrounds. If all doctors experiment could an adequate system available, impact on be substantial. investigation applies commonly practice lab As part of this investigation, we evaluated TensorFlow Poets (TFP) tutorial from Google Code Labs openly images provided Kaggle Inc. While would recommend our test results as basis diagnosing conditions, were encouraging enough suggest using can offer promising opportunity expand into medical, but