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Automatic Detection of Nephrops Norvegicus Burrows from Underwater Imagery Using Deep Learning

Computers, Materials & Continua 2022年第3期70卷 5321-5344页

作者： Atif Naseer Enrique Nava Baro Sultan Daud Khan Yolanda Vila jennifer doyle ETSI Telecomunicación Universidad deMálagaMálaga29071Spain Department of Computer Science National University of TechnologyIslamabad44000Pakistan Instituto Espanol de Oceanografía Centro Oceanográfico de CádizCádiz39004Spain Marine Institute Rinville OranmoreIreland

The Norway lobster,Nephrops norvegicus,is one of the main commercial crustacean fisheries in *** abundance of Nephrops norvegicus stocks is assessed based on identifying and counting the burrows where they live from underwater videos collected by camera systems mounted on *** Spanish Oceanographic Institute(IEO)andMarine Institute Ireland(MIIreland)conducts annual underwater television surveys(UWTV)to estimate the total abundance of Nephrops within the specified area,with a coefficient of variation(CV)or relative standard error of less than 20%.Currently,the identification and counting of the Nephrops burrows are carried out manually by the marine *** is quite a time-consuming *** a solution,we propose an automated system based on deep neural networks that automatically detects and counts the Nephrops burrows in video footage with high *** proposed system introduces a deep-learning-based automated way to identify and classify the Nephrops *** research work uses the current state-of-the-art Faster RCNN models Inceptionv2 and MobileNetv2 for object detection and *** conduct experiments on two data sets,namely,the Smalls Nephrops survey(FU 22)and Cadiz Nephrops survey(FU 30),collected by Marine Institute Ireland and Spanish Oceanographic Institute,*** the results,we observe that the Inception model achieved a higher precision and recall rate than *** best mean Average Precision(mAP)recorded by the Inception model is 81.61%compared to MobileNet,which achieves the best mAP of 75.12%.

关键词： Faster RCNN computer vision nephrops norvegicus nephrops norvegicus stock assessment underwater videos classification

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Long term outcomes for patients treated with half-fluence photodynamic therapy for chronic central serous chorioretinopathy: a case series

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International Journal of Ophthalmology(English edition) 2018年第2期11卷 333-336页

作者： jennifer doyle Bhaskar Gupta Irfan Tahir Department of Ophthalmology Royal Berkshire NHS Foundation Trust Royal Berkshire Hospital

A case series was used to evaluate the efficacy of halffluence photodynamic therapy（PDT） for chronic central serous chorioretinopathy（CSCR）. Patients were treated with standard-dose verteporfin and half-fluence PDT. Totally 13 eyes from 11 patients were included. The mean patient age was 52.0 y. There was a mean reduction in central retinal thickness of 107.0 microns. Totally 7/13 eyes（53.8%） achieved resolution of subretinal fluid（SRF） on optical coherence tomography（OCT） scan after 1 treatment with PDT. Four eyes had further treatment with PDT; of these 1 eye achieved resolution of SRF. Seven of the 13 eyes（53.8%） achieved an improvement of more than 5 ETDRS letters. One patient experienced acute macula oedema 1 d post PDT treatment. These results support the hypothesis that half-fluence PDT can have a positive effect in chronic CSCR for a gain in visual acuity and reduction in sub-retinal fluid. Acute macula oedema is a rare but potential adverse effect of half-fluence PDT.

关键词： central serous chorioretinopathy photodynamic therapy fluence

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