RETRACTION: Animal tumor medical image analysis based on image processing techniques and embedded system (Retraction of Vol 81, art no 103671, 2021)

In terms of image segmentation and classification has been a lot of effort. To this end, various techniques have been employed. Image segmentation has great value, especially in the field of bio-medicine for disease diagnosis. Field Programmable Gate Arrays (FPGA) and embedded systems play a very important role in medical imaging tumors in animal studies neuroscience research. Embodiment's variety of techniques can improve the accuracy of the results of the composition. In this context, efforts to increase the diagnosis's accuracy made lists of previous studies and researchers in various targets. This study aims to propose a model for the FPGA and embedded systems to assess grayscale images' impact. Such a combination may provide better results and contribute to a more effective disease diagnosis in the shortest possible time. By introducing a more accurate and more efficient diagnosis of cancer models, the study contributed to image processing. According to this model, the present research includes other tasks: Classification and overview of a combination with other methods described. Recommendations for using segmentation techniques gradation FPGA and embedded system model. Improve diagnosis of animal tumor medical tumor for timely and effective treatment. © 2020