A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
gaps, constraints, and limitations in the field to provide an overview of current solutions used …
Biological research and self-driving labs in deep space supported by artificial intelligence
Abstract Space biology research aims to understand fundamental spaceflight effects on
organisms, develop foundational knowledge to support deep space exploration and …
organisms, develop foundational knowledge to support deep space exploration and …
Ensemble deep transfer learning model for Arabic (Indian) handwritten digit recognition
Recognising handwritten digits or characters is a challenging task due to noisy data that
results from different writing styles. Numerous applications essentially motivate to build an …
results from different writing styles. Numerous applications essentially motivate to build an …
Deep learning techniques for COVID-19 diagnosis and prognosis based on radiological imaging
R Hertel, R Benlamri - ACM Computing Surveys, 2023 - dl.acm.org
This literature review summarizes the current deep learning methods developed by the
medical imaging AI research community that have been focused on resolving lung imaging …
medical imaging AI research community that have been focused on resolving lung imaging …
Machine learning augmented interpretation of chest X-rays: a systematic review
HK Ahmad, MR Milne, QD Buchlak, N Ektas… - Diagnostics, 2023 - mdpi.com
Limitations of the chest X-ray (CXR) have resulted in attempts to create machine learning
systems to assist clinicians and improve interpretation accuracy. An understanding of the …
systems to assist clinicians and improve interpretation accuracy. An understanding of the …
Forecasting new diseases in low-data settings using transfer learning
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika
epidemic in Brazil, have demonstrated both the importance and difficulty of accurately …
epidemic in Brazil, have demonstrated both the importance and difficulty of accurately …
[PDF][PDF] 基于迁移学习的长短时记忆神经网络水文模型
殷仕明， 徐炜， 熊一橙， 田远洋， 赵思琪， 陈思 - 水力发电学报, 2022 - slfdxb.cn
针对无/缺水文资料地区水文建模的难题, 提出了基于迁移学习的长短时记忆神经网络(LSTM)
水文模型. 以嘉陵江, 乌江和岷江流域为例, 基于实测水文气象数据, 采用K …
水文模型. 以嘉陵江, 乌江和岷江流域为例, 基于实测水文气象数据, 采用K …
Novel hypertrophic cardiomyopathy diagnosis index using deep features and local directional pattern techniques
Hypertrophic cardiomyopathy (HCM) is a genetic disorder that exhibits a wide spectrum of
clinical presentations, including sudden death. Early diagnosis and intervention may avert …
clinical presentations, including sudden death. Early diagnosis and intervention may avert …
Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
Disease severity identification using computational intelligence-based approaches is
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …
Explainable augmented intelligence and deep transfer learning for pediatric pulmonary health evaluation
Biomedical Instrumentation is one of the fastest health emerging innovative technologies
with proven contribution towards interdisciplinary medicine, it helps physicians to diagnose …
with proven contribution towards interdisciplinary medicine, it helps physicians to diagnose …