Quantitative analysis of functional filtering bleb size using Mask R-CNN
نویسندگان
چکیده
منابع مشابه
Prostate segmentation and lesions classification in CT images using Mask R-CNN
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PURPOSE OF REVIEW To present a review of the current literature regarding the management of glaucoma-filtering bleb infections. RECENT FINDINGS With the increased use of intraoperative antifibrotic (eg, mitomycin and fluorouracil) as an adjunct to standard trabeculectomy, an increased incidence is seen of late-onset filtering bleb-related infections. These infections range from infections loc...
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Deep convolutional neural networks (CNNs) have had a major impact in most areas of image understanding, including object category detection. In object detection, methods such as R-CNN have obtained excellent results by integrating CNNs with region proposal generation algorithms such as selective search. In this paper, we investigate the role of proposal generation in CNN-based detectors in orde...
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Recent CNN-based object detection methods have drastically improved their performances but still use a single classifier as opposed to ”multiple experts” in categorizing objects. The main motivation of introducing multi-experts is twofold: i) to allow different experts to specialize in different fundamental object shape priors and ii) to better capture the appearance variations caused by differ...
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CASE REPORT A 35-year-old man with degenerative myopia suffered blunt ocular trauma due to being hit in the face by a ball. The injury caused four cyclodialysis clefts in his left eye which resulted in hypotony and chorioretinal folds. DISCUSSION The persisting hypotony was unsuccessfully treated with topical therapy and with laser photocoagulation. Therefore, a surgical treatment with direct...
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ژورنال
عنوان ژورنال: Annals of Translational Medicine
سال: 2020
ISSN: 2305-5839,2305-5847
DOI: 10.21037/atm.2020.03.135