KNN Dan Gabor Filter Serta Wiener Filter Untuk Mendiagnosis Penyakit Pneumonia Citra X-RAY Pada Paru-Paru

Antony, Felix; Irsyad, Hafiz; Rivan, Muhammad Ezar Al

doi:10.35957/algoritme.v1i2.893

Cited by 4 publications

(4 citation statements)

References 7 publications

(7 reference statements)

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“… 2018 ), and wiener filter (Antony et al. 2021 ) can be used in the preprocessing of chest radiographs. The median filter is used for noise removal and smoothing of an image.…”

Section: Chest Radiograph Detection Systemmentioning

confidence: 99%

Review on chest pathogies detection systems using deep learning techniques

et al. 2023

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Chest radiography is the standard and most affordable way to diagnose, analyze, and examine different thoracic and chest diseases. Typically, the radiograph is examined by an expert radiologist or physician to decide about a particular anomaly, if exists. Moreover, computer-aided methods are used to assist radiologists and make the analysis process accurate, fast, and more automated. A tremendous improvement in automatic chest pathologies detection and analysis can be observed with the emergence of deep learning. The survey aims to review, technically evaluate, and synthesize the different computer-aided chest pathologies detection systems. The state-of-the-art of single and multi-pathologies detection systems, which are published in the last five years, are thoroughly discussed. The taxonomy of image acquisition, dataset preprocessing, feature extraction, and deep learning models are presented. The mathematical concepts related to feature extraction model architectures are discussed. Moreover, the different articles are compared based on their contributions, datasets, methods used, and the results achieved. The article ends with the main findings, current trends, challenges, and future recommendations.

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“… 2018 ), and wiener filter (Antony et al. 2021 ) can be used in the preprocessing of chest radiographs. The median filter is used for noise removal and smoothing of an image.…”

Section: Chest Radiograph Detection Systemmentioning

confidence: 99%

Review on chest pathogies detection systems using deep learning techniques

et al. 2023

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“…Selanjutnya penelitian dengan judul KNN Dan Gabor Filter Serta Wiener Filter Untuk Mendiagnosis Penyakit Pneumonia Citra X-RAY Pada Paru-Paru, yang mana pada penelitian yang dikerjakan tahapan pertama yang dilakukan pada citra sebelum dilakukan pengklasifikasian yaitu melakukan proses resize, dilanjutkan proses ekstraksi menggunakan Gabor Filter, Image Enhancement menggunakan Wiener Filter dan terakhir diklasifikasi dengan penggunaan metode K-Nearest Neighbor (KNN). Dari hasil penelitian didapatkan akurasi terbaik sebesar 79,62% [6]. Teknik pengklasifikasian dengan metode K-Nearest Neighbors (KNN) termasuk dalam pembelajaran mesin lazy learning.…”

Section: Latar Belakangunclassified

Perbandingan Akurasi Klasifikasi Kadar Daging Sapi Pada Bakso Dengan SVM Dan KNN

Mansyah¹,

Alamsyah²,

Irsyad

2023

MDP-SC

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Bakso adalah olahan yang mengandung protein hewani, banyak olahan bakso yang dibuat mulai dari daging sapi, ayam bahkan ikan. Namun yang seringkali dijumpai adalah olahan bakso dengan daging sapi. Bakso biasanya disajikan dengan kuah dan ditambah pelengkap lain seperti sayur sawi dan mie. Setiap olahan bakso yang dibuat orang yang berbeda memiliki tekstur kekenyalan berbeda, sebagai orang awam biasanya mengetahui melalui teksturnya seperti kekenyalannya dan serat daging yang ada pada bakso tetapi dapat juga diketahui melalui kecerdasan buatan. Penelitian dilakukan untuk mengetahui kadar daging sapi pada bakso dengan empat jenis kadar perbandingan yakni kadar pertama 1.5 daging 1 tepung, kadar kedua 1 daging 1 tepung, kadar ketiga 1 daging 2 tepung, dan kadar keempat 2 daging 1 tepung. Metode klasifikasi yang digunakan adalah KNN dengan 3 tetangga dan SVM dengan ekstraksi fitur GLCM, didapatkan hasil overall akurasi untuk KNN 3 tetangga sebesar 77.50% sedangkan untuk SVM sebesar 55%.

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“…Algoritma K-Nearest Neighbor (KNN) adalah sebuah metode untuk melakukan klasifikasi terhadap objek yang berdasarkan dari data pembelajaran yang jaraknya paling dekat dengan objek tersebut [9], [10]. Algoritma Nearest Neighbour merupakan teknik sederhana untuk mencari jarak terdekat dari tiap -tiap kasus (cases) yang ada di dalam database, dan seberapa mirip ukuran kemiripan (similarity) setiap source case yang ada di dalam database dengan target case [11]. Dengan fungsi similarity sebagai berikut [12], [13]:…”

Section: Algoritma K-nearest Neighbourunclassified

Analisis K-Nearest Neighbour Dalam Mendiagnosa Grandemultipara

Nasyuha¹,

Zunaidi²,

Purwadi³

2022

json

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Grandemultipara are women who give birth more than four times usually experience complications in pregnancy and childbirth. Grandemultipara or better known as mothers who give birth more than 4 times can cause various pregnancy complications that will be experienced by the mother, one of which is bleeding. Grandemultipara pregnancies are included in high-risk pregnancies, because complications can occur either during pregnancy or childbirth. The K-NN algorithm can be applied in the process of diagnosing human diseases, so several references are taken including those used in diagnosing several diseases. With the K-NN algorithm that will be used in this study, where data on symptoms of Grandemultipara disease obtained from an expert is processed according to the algorithm to produce accurate diagnostic information for Grandemultipara disease. Analysis of the K-NN method is able to provide information and solutions in solving the problems of Grandemultipara disease.

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KNN Dan Gabor Filter Serta Wiener Filter Untuk Mendiagnosis Penyakit Pneumonia Citra X-RAY Pada Paru-Paru

Cited by 4 publications

References 7 publications

Review on chest pathogies detection systems using deep learning techniques

Review on chest pathogies detection systems using deep learning techniques

Perbandingan Akurasi Klasifikasi Kadar Daging Sapi Pada Bakso Dengan SVM Dan KNN

Analisis K-Nearest Neighbour Dalam Mendiagnosa Grandemultipara

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