Weighted Contourlet Parametric (WCP) Feature Based Breast Tumor Classification from B-Mode Ultrasound Image

no code implementations • 11 Feb 2021 • Shahriar Mahmud Kabir, Md. Sayed Tanveer, ASM Shihavuddin, Mohammed Imamul Hassan Bhuiyan

Specifically, with the support vector machine and k-nearest-neighbor classifier, very high accuracies of 97. 2% and 97. 55% can be obtained for the Mendeley Data and Dataset B, respectively, using the weighted contourlet parametric images. The reported classification performance is also compared with that of other works using the datasets employed in this paper.

General Classification

Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation

no code implementations • 27 Mar 2018 • Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, ASM Shihavuddin, Bartosz Krawczyk, Francisco Herrera

The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in the nature of this data: 1) datasets do not include information about the global structure of the coral; 2) several species of coral have very similar characteristics; and 3) defining the spatial borders between classes is difficult as many corals tend to appear together in groups.

Data Augmentation General Classification +1