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Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Abstract Machine learning (ML) algorithms have made a tremendous impact in the field of
medical imaging. While medical imaging datasets have been growing in size, a challenge …
medical imaging. While medical imaging datasets have been growing in size, a challenge …
Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis
In this paper, we consider enhancing medical visual-language pre-training (VLP) with
domain-specific knowledge, by exploiting the paired image-text reports from the radiological …
domain-specific knowledge, by exploiting the paired image-text reports from the radiological …
A survey on incorporating domain knowledge into deep learning for medical image analysis
X ** in hospitals and the availability of extensive sets of …
Machine learning‐enabled smart sensor systems
Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …
the past decade have made it possible to collect, analyze, and interpret an unprecedented …