Výsledky vyhledávání - "Filda Efriliyanti"

Akademický článek

VG-DropDNet a Robust Architecture for Blood Vessels Segmentation on Retinal Image

Autor: Anita Desiani, Erwin, Bambang Suprihatin, Filda Efriliyanti, Muhammad Arhami, Emy Setyaningsih

Publikováno v: IEEE Access, Vol 10, Pp 92067-92083 (2022)

Additional layers to the U-Net architecture leads to additional parameters and network complexity. The Visual Geometry Group (VGG) architecture with 16 backbones can overcome the problem with small convolutions. Dense Connected (DenseNet) can be used

Externí odkaz: https://doaj.org/article/85c53950805549b4b4f797db24d631e7

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Segmentation of the Lungs on X-Ray Thorax Images with the U-Net CNN Architecture

Autor: Filda Efriliyanti, Herlina Hanum, Bambang Suprihatin, Anita Desiani, Teddi Pranata

Publikováno v: Computer Engineering and Applications Journal. 11:101-111

Lungs are one of the most important parts of the human body. They are very susceptible to various disorders and diseases. For this reason, it is necessary to detect or diagnose the lungs. In this study, we present a method for lung segmentation using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8d0b2781ef3ed33e93b07902aa5de7d6
https://doi.org/10.18495/comengapp.v11i2.404

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Vgg-Bridged Dropout Dense U-Net for Robust Segmentation of Retinal Blood Vessel Image

Autor: Anita Desiani, erwin erwin, Bambang Suprihatin, Filda Efriliyanti, Sugandi Yahdin, Emy Setyaningsih, Muhammad Arhami

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5835f3924a22c7c045109dcf38e8ba8
https://doi.org/10.2139/ssrn.4006235

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Variasi Thresholding untuk Segmentasi Pembuluh Darah Citra Retina

Autor: Anita Desiani, Des Alwine Zayanti, Rifkie Primartha, Filda Efriliyanti, Nur Avisa Calista Andriani

Publikováno v: Jurnal Edukasi dan Penelitian Informatika (JEPIN). 7:255

Segmentasi pembuluh darah pada retina diperlukan pada deteksi dini penyakit Diabetic Retinopathy pada citra retina. Penelitian ini menggunakan tiga tahapan yaitu pre-processing, segmentasi dan post-processing yang akan membandingkan hasil dari 3 meto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a2a14e76a0eb4a6bbfc73959b045bb33
https://doi.org/10.26418/jp.v7i2.47205

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