Determination of human blood type using image processing techniques

Ferraz, Ana; Carvalho, Vı́tor; Machado, José

doi:10.1016/j.measurement.2016.11.015

Cited by 14 publications

(10 citation statements)

References 9 publications

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“…Likewise, if clumps are produced in blood samples applied with antigens B and D, then the group is known as B + . If no clumping occurs in blood samples added with any of the antigens, then the group is known as O − [42] .…”

Section: Methods For Classifying Blood Types For Infection Repositmentioning

confidence: 99%

“…The blood types can be determined using their techniques by plate tests, and the analysis can be carried out automatically. Furthermore, they discussed that image processing methods can enable automatic identification with fast and accurate blood type results; the use of such approach would eliminate errors committed by technicians in blood typing, leading to safe blood transfusions and reducing the loss of human lives [41] .…”

Section: Intelligent Computing Issuesmentioning

confidence: 99%

“…Authors [42] introduced a prototype for pre-transfusion testing that was designed exclusively for use in emergencies. The prototype is unique in its portability, effectiveness and timely results.…”

Section: Intelligent Computing Issuesmentioning

confidence: 99%

See 2 more Smart Citations

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Computer Methods and Programs in Biomedicine

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Context: People who have recently recovered from the threat of deteriorating coronavirus disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood. Thus, the transfusion of these antibodies to deteriorating patients could theoretically help boost their immune system. Biologically, two challenges need to be surmounted to allow convalescent plasma (CP) transfusion to rescue the most severe COVID-19 patients. First, convalescent subjects must meet donor selection plasma criteria and comply with national health requirements and known standard routine procedures. Second, multi-criteria decision-making (MCDM) problems should be considered in the selection of the most suitable CP and the prioritisation of patients with COVID-19. Objective: This paper presents a rescue framework for the transfusion of the best CP to the most critical patients with COVID-19 on the basis of biological requirements by using machine learning and novel MCDM methods.

show abstract

Section: Methods For Classifying Blood Types For Infection Repositmentioning

confidence: 99%

Section: Intelligent Computing Issuesmentioning

confidence: 99%

See 1 more Smart Citation

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Albahri

Al‐Obaidi

Zaidan

et al. 2020

Computer Methods and Programs in Biomedicine

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show abstract

“…Penelitian dalam bidang kesehatan misalnya mendeteksi darah sebelum proses transfusi dari pendonor ke pasien. Aplikasi deteksi darah mampu mendeteksi gambar dengan mudah, cepat, aman, dan memiliki akurasi yang tinggi, sehingga terdeteksi darah yang akan diambil tersebut aman atau berpenyakit [2]. Beberapa peneliti juga menggunakan pengolahan citra untuk identifikasi spesies serangga [3], pengolahan citra juga digunakan untuk mendeteksi secara otomatis jenis dan klasifikasi batik [4] [5], dalam penelitian lain menggunakan pengolahan citra untuk mengidentifikasi jaringan jalan perkotaan menggunakan data dengan resolusi tinggi [6].…”

Section: Pendahuluanunclassified

Preprosesing dan normalisasi pada dataset kupu-kupu untuk ekstraksi fitur warna, bentuk dan tekstur

Kartika

Maulana

2021

COMPLETE

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Penelitian dalam bidang citra digital masing terus berkembang. Perkembangan penelitian dalam bidang pertanian, kesehatan ataupun mendukung infrastruktur atau tata kelola kota. Penelitian dalam citra digital bisa membantu mendapatkan keputusan terbaik agar hasil yang didapatkan sesuai dengan prediksi. Penelitian dalam bidang citra digital yang berkembang salah satunya dalam hal serangga. Jenis serangga yang digunakan untuk penelitian ini adalah kupu-kupu sebanyak 890 data. Dataset tersebut dibagi menjadi 10 kelas, masing-masing kelas sebanyak 89 data. Dataset akan dilakukan proses ekstraksi fitur warna, fitur tekstur dan fitur bentuk. Sebelum proses ekstraksi fitur hal terpenting adalah melakukan preprosesing dan normalisasi ukuran piksel. Preprosesing dilakukan untuk menghilangkan noise pada gambar. Noise dalam penelitian citra digital merupakan hal yang harus dihilangkan agar tidak mengurangi hasil yang akan didapatkan. Selain menghilangkan noise, proses normalisasi ukuran setiap objek dataset juga disesuaikan. Ukuran masing-masing dataset disamakan sehingga hasil yang didapatkan juga mempunyai standarisasi nilai. Hasil yang didapatkan pada proses klasifikasi kupu-kupu mempunyai nilai akurasi sebesar 75% penggabungan dari ketiga ekstraksi fitur warna, fitur tekstur dan fitur bentuk pada ukuran piksel 256x160. Keywords: citra digital; preprosesing; normalisasi piksel, ekstraksi fitur, kupu-kupu

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“…Ferraz et al develop a new methodology for blood phenotyping [33][34][35]. It is based on plate test and relies on image processing.…”

mentioning

confidence: 99%

Biochip technology applied to an automated ABO compatibility test at the patient bedside

Charrière¹,

Rouleau²,

Gaiffe³

et al. 2015

Sensors and Actuators B: Chemical

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Determination of human blood type using image processing techniques

Cited by 14 publications

References 9 publications

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological requirements via ml and novel MCDM methods

Preprosesing dan normalisasi pada dataset kupu-kupu untuk ekstraksi fitur warna, bentuk dan tekstur

Biochip technology applied to an automated ABO compatibility test at the patient bedside

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