Page 73 - Deep Learning News Today

Background and purpose: Previous studies on automatic delineation quality assurance (QA) have mostly focused on CT-based planning. As MRI-guided radiotherapy is increasingly utilized in prostate cancer treatment, there is a need for more research on MRI-specific automatic QA. This work proposes a clinical target volume (CTV) delineation QA framework based on deep learning (DL) for MRI-guided prostate radiotherapy. Materials and methods: The proposed workflow utilized a 3D dropblock ResUnet++ (DB...

Hyperspectral image segmentation is an emerging area with numerous applications, including agriculture, forestry, environment monitoring, and remote sensing. This paper proposes a new neural architecture search algorithm, named AdaptorNAS, for hyperspectral image segmentation. AdaptorNAS aims to design the optimum decoder for any given encoder. In our approach, the search space of AdaptorNAS is a large deep neural network (DNN), and the optimal decoder is derived by pruning the large DNN via a p...

DeepFake uses Generative+Adversarial Network for successfully switching the identities of two people. Large public databases and deep learning methods are now rapidly available because of the proliferation of easily accessible tools online. It has resulted in the emergence of very real appealing fake content that produced a bad impact and challenges for society to deal. Pre-trained generative adversarial networks (GANs) that can flawlessly substitute one person's face in a video or image fo...

The media has been used to disseminate public information amid the Covid-19 pandemic. However, Covid-19 news has triggered emotional responses in people that have impacted their mental well-being and led to news avoidance. To understand the emotional response to Covid-19 news, we studied user comments on news published on Twitter by 37 media outlets in 11 countries from January 2020 to December 2022. We employed a deep-learning-based model to identify the basic human emotions defined by Ekman in...

The continuous energy input can lead to heat accumulation in the multi-pass lap laser cladding, which results in a progressive increase in the dilution rate and deteriorates the quality of laser cladding. Precisely controlling the stability of the dilution in the multi-pass laser cladding is still challenging. In this study, we proposed a deep-learning driven method for precisely controlling the dilution rate in the multi-pass laser cladding. Initially, the relationship between the dilution rate...

Researchers from Dana-Farber Cancer Institute have found a way to use artificial intelligence (AI) to diagnose muscle wasting, called sarcopenia, in patients with head and neck cancer.

Cleerly, an artificial intelligence (AI) digital healthcare company, has announced it was named “Best Overall AI Solution” in the sixth annual AI Breakthrough Awards program conducted by AI Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market.

This post covers my experience training image classification models with Intel’s PyTorch extension on the Arc A770 GPU.

IBM researchers convinced large language models to play a multi-layered "game" of offering incorrect advice to prove they are "ethical and fair."

Durham University researchers in the UK have developed (PDF) a deep-learning model that malicious actors could use to steal passwords remotely. The researchers trained the AI on...