Results 211 to 220 of about 65,281 (258)

Association between deep learning-based coronary artery calcium score on non-gated chest CT and progression of chronic kidney disease: a retrospective observational cohort study. [PDF]

BMC Med Imaging
Yang K, Li M, Wang J, Yu Y, Yu L, Dai X, Wu D, Zhang J.   +7 more
europepmc   +1 more source

Machine learning and deep learning models for predicting colorectal cancer metastases: A comprehensive review. [PDF]

Eur J Radiol Open
Getu MA, Amare T, Li K, Mehmood A, Adem YF, Santos P, Yan H.   +6 more
europepmc   +1 more source

Differentiation between benign and malignant orbital tumors using deep transfer learning features and hand-crafted radiomics features from traditional CT imaging. [PDF]

Front Oncol
Huang W, Xu X, Han X, Zhang G.
europepmc   +1 more source

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Auto-DL: A Platform to Generate Deep Learning Models

2021
Deep Learning (DL) model building is a tedious and taxing process. The number of prerequisites is high and a lot of time is invested. Hence, there is a scope of Automation. Code to build DL models follows a standard structure, broadly classified into four categories (Imports, Data Input, Model Creation, and Evaluation).
Aditya Srivastava, Tanvi Shinde, Raj Joshi, Sameer Ahmed Ansari, Nupur Giri   +4 more
openaire   +1 more source

Deep Learning (DL) Oriented Forensic Analysis

Advances in Multidisciplinary and scientific Research Journal Publication, 2022
Cyber-attacks are now more prevalent than ever before in all aspects of our daily lives. As a result of this circumstance, both individuals and organizations are fighting cybercrime on a regular basis. Furthermore, today's hackers have advanced a step further and are capable of employing complex cyber-attack strategies, exacerbating the problem.
openaire   +1 more source

VoC-DL: Revisiting Voice Of Customer Using Deep Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
In the field of digital marketing, understanding the voice of the customer is paramount. Mining textual content written by visitors on websites or social media can offer new dimensions to marketers and CX executives. Traditional tasks in NLP like sentiment analysis, topic modeling etc.
Susheel Suresh, Guru Rajan T. S, Vipin Gopinath   +2 more
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PPD-DL: Privacy-Preserving Decentralized Deep Learning

2019
Privacy is a fundamental challenge for the collection of massive training data in deep learning. Decentralized neural network enables clients to collaboratively learn a shared prediction model, which can protect clients’ sensitive dataset without the need to centrally store training data. But distributed training process by iteratively averaging client-
Lei Song, Chunguang Ma, Peng Wu, Yun Zhang 0009   +3 more
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Deep Learning (DL) Based On-board Indirect Useful Life Prediction

2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
On-board diagnostics (OBD) of mechanical parts, such as suspension and chassis, is a long-standing challenge for commercial vehicle because: 1. Direct sensing is not possible on production truck; 2. Customer usage and external environment greatly affect remaining useful life.
Wenbo Yu, Yong Sun, Aishwarya Kadam, Yuting Chen   +3 more
openaire   +1 more source