Journal of clinical pathology · 2005
A novel wavelet neural network based pathological stage detection technique for an oral precancerous condition.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Paul R R, Mukherjee A, Dutta P K, Banerjee S, Pal M, Chatterjee J, Chaudhuri K, Mukkerjee K
Аннотация
AIM: To describe a novel neural network based oral precancer (oral submucous fibrosis; OSF) stage detection method.
METHOD: The wavelet coefficients of transmission electron microscopy images of collagen fibres from normal oral submucosa and OSF tissues were used to choose the feature vector which, in turn, was used to train the artificial neural network.
RESULTS: The trained network was able to classify normal and oral precancer stages (less advanced and advanced) after obtaining the image as an input.
CONCLUSIONS: The results obtained from this proposed technique were promising and suggest that with further optimisation this method could be used to detect and stage OSF, and could be adapted for other conditions.
METHOD: The wavelet coefficients of transmission electron microscopy images of collagen fibres from normal oral submucosa and OSF tissues were used to choose the feature vector which, in turn, was used to train the artificial neural network.
RESULTS: The trained network was able to classify normal and oral precancer stages (less advanced and advanced) after obtaining the image as an input.
CONCLUSIONS: The results obtained from this proposed technique were promising and suggest that with further optimisation this method could be used to detect and stage OSF, and could be adapted for other conditions.