A multi-window approach to classify histological features
Ringo Wai-Kit Lam, Horace H. S. Ip, K.K.T. Cheung, Liang Tang, Rudolf Hanka · 2002
Medical images are usually composed of different kinds of texture components which are always so much varied that a conventional single window approach cannot capture enough salient information for comparison. This paper applies the widely used multi-channel Gabor filters to demonstrate how a multi-window approach can improve the classification accuracy rate of histological labels. In addition, a most confident window method is proposed to further increase the accuracy rate of the multi-window approach.