Skin Disease Recognition Method Based on Image Color and Texture Features.

Skin diseases have a serious impact on people's life and health. Current research proposes an efficient approach to identify singular type of skin diseases. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis for multitype skin diseases. In this paper, three type skin diseases such as herpes, dermatitis, and psoriasis skin disease could be identified by a new recognition method. Initially, skin images were preprocessed to remove noise and irrelevant background by filtering and transformation. Then the method of grey-level co-occurrence matrix (GLCM) was introduced to segment images of skin disease. The texture and color features of different skin disease images could be obtained accurately. Finally, by using the support vector machine (SVM) classification method, three types of skin diseases were identified. The experimental results demonstrate the effectiveness and feasibility of the proposed method.

The Antisense Oligodeoxynucleotides of bcl-2 Oncogene Enhances the Sensitivity of K562 Leukemic Cells to As(2)O(3) / 中国实验血液学杂志

The biological reaction, changes of cellular DNA and bcl-2 protein content of K562 cells to bcl-2 ASODN or As(2)O(3) alone or bcl-2 ASODN associated with As(2)O(3) were investigated by cellular microculture, immunological tissue-chemistry method, and flow cytometry. The results showed that there is much more induce-apoptotic effect of As(2)O(3) on K562 cells while it combined with bcl-2 ASODN (ASODN 10.0 micro mol/L + As(2)O(3) 5.0 micro mol/L) than bcl-2 ASODN or As(2)O(3) alone (ASODN 10.0 micro mol/L or As(2)O(3) 5.0 micro mol/L), (P < 0.01), and so does inhibitory effect of bcl-2 protein expression by flow cytometry (P < 0.01). In conclusions, the bcl-2 ASODN can enhance the drug-sensetivity of K562 leukemic cells to As(2)O(3).