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Okudawunilodiwe
Isilinganiselwa sokuqukethwe
Umuntu omusha
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini
Isithombe sesithombe-skrini

Mayelana nalolu hlelo lokusebenza

NLM Umalaleveva Screener kuyinto lokusebenza zokuxilonga esiza abasebenzisi ku uphethwe umalaleveva kanye ekuqapheleni iziguli umalaleveva. La macala lokusebenza abathelelekile abangathelelekile amangqamuzana abomvu egazi egazini smear izithombe ethunjwa ngekhamera smartphone lapho exhunywe eyepiece isibonakhulu. Isebenzisa image analysis nokufunda umshini izindlela ukukhomba amangqamuzana ngamanye futhi akamukeli noma phakathi amaseli onegciwane kanye abangathelelekile. Uhlelo lokusebenza libika ukuthi parasitemia sitholakale umsebenzisi futhi awagcine database isiguli, ngokuvumela ukuqapha iziguli ngokuhamba kwesikhathi.

NLM Umalaleveva Screener kuyinto R & D project of the Lister Hill National Center of Biomedical Communications, okuyinto a division of the National Library of Medicine (NLM) ngesikhathi National Institutes of Health (NIH). Ukuthuthukiswa lokusebenza ngokubambisana Friend nabalingani zikazwelonke nezamazwe ngamazwe, kuhlanganise Mahidol University (Thailand), University of Oxford (UK), kanye University of Missouri.

Uhlelo lokusebenza okwamanje lwesigaba beta sokuhlola kanye nocwaningo oluqhubekayo bese ukuthuthukiswa sihlose kungezwe ukusebenza esikhathini esizayo. Izinhlangano futhi umisa kuyathandwa iyasebenza ku uphethwe isifo sikamalaleveva, kungaba ucwaningo noma insimu ukuhlolwa, kuthiwa wamukela avivinye version beta kanye nokuhlinzeka impendulo, okuyinto ongasiza ekuphuculeni lokusebenza. Uma nesithakazelo, sicela uxhumane nathi kuleli kheli le-imeyili ezinikezwe lokusebenza, noma vakashela project yethu lewebhu https://ceb.nlm.nih.gov/projects/malaria-screener/
Kubuyekezwe ngo-
Feb 9, 2021

Ukuphepha kwedatha

Onjiniyela bangase babonise ulwazi lapha mayelana nendlela i-app yabo eqoqa futhi esebenzisa ngayo idatha yakho. Funda kabanzi mayelana nokuphepha kwedatha
Alukho ulwazi olutholakalayo

Yini entsha

- Introduced slide-level confidence and threshold. The App will output binary classification result for each slide.
- Now uses different colors to indicate the confidence level for each parasite detection.