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"Open-source, fully-automated hybrid cardiac substructure segmentation:" by Robert N. Finnegan, Vicky Chin et al.

Abstract: Radiotherapy for thoracic and breast tumours is associated with a range of cardiotoxicities. Emerging evidence suggests cardiac substructure doses may be more predictive of specific outcomes, however, quantitative data necessary to develop clinical planning constraints is lacking. Retrospective analysis of patient data is required, which relies on accurate segmentation of cardiac substructures. In this study, a novel model was designed to deliver reliable, accurate, and anatomically co...
Breast Cancer Ardiac Substructures Deep Learning Image Segmentation Lung Cancer
Source: uow.edu.au

"Neural Architecture Search for Image Segmentation and Classification" by Sui Paul Ang

Deep learning (DL) is a class of machine learning algorithms that relies on deep neural networks (DNNs) for computations. Unlike traditional machine learning algorithms, DL can learn from raw data directly and effectively. Hence, DL has been successfully applied to tackle many real-world problems. When applying DL to a given problem, the primary task is designing the optimum DNN. This task relies heavily on human expertise, is time-consuming, and requires many trial-and-error experiments. This t...
Neural Architecture Search Deep Learning Yperspectral Image Segmentation Edestrian Lane Detection Eural Network Performance Prediction
Source: uow.edu.au

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Data Bridge Market Research: Transfection Reagent and Equipment Market Estimated to Witness Exponential CAGR Growth of 9.6% by 2030, Size, Share, Trends, Rising Demand, Dynamics and Opportunity Analysis

CHICAGO, March 15, 2023 /PRNewswire/ -- Data Bridge Market Research has recently published a Report, titled, "Transfection Reagent and Equipment Market" The report offers an extensive analysis
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