Fuzzy U-Net Neural Network Architecture Optimization for Image Segmentation
نویسندگان
چکیده
منابع مشابه
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Deep learning (DL) based semantic segmentation methods have been providing state-of-the-art performance in the last few years. More specifically, these techniques have been successfully applied to medical image classification, segmentation, and detection tasks. One deep learning technique, U-Net, has become one of the most popular for these applications. In this paper, we propose a Recurrent Co...
متن کاملFuzzy Min-Max Neural Network for Image Segmentation
In this work a new fuzzy min-max neural network for color image segmentation, called FMMIS neural network, is proposed. The FMMIS algorithm uses seed pixels to grow hyperboxes, and a criterion of homogeneity for controlling the size of these hyperboxes. The algorithm has been implemented for 2D images and tested on the segmentation of live and dead knots in images of wood boards. On a test set,...
متن کاملAutomatic segmentation of glioma tumors from BraTS 2018 challenge dataset using a 2D U-Net network
Background: Glioma is the most common primary brain tumor, and early detection of tumors is important in the treatment planning for the patient. The precise segmentation of the tumor and intratumoral areas on the MRI by a radiologist is the first step in the diagnosis, which, in addition to the consuming time, can also receive different diagnoses from different physicians. The aim of this study...
متن کاملU-Net: Convolutional Networks for Biomedical Image Segmentation
There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available annotated samples more efficiently. The architecture consists of a contracting path to capture context and a symmetric expanding path that enables prec...
متن کاملNeural Network for Image Segmentation
Image analysis is an important requirement of many artificial intelligence systems. Though great effort has been devoted to inventing efficient algorithms for image analysis, there is still much work to be done. It is natural to turn to mammalian vision systems for guidance because they are the best known performers of visual tasks. The pulse-coupled neural network (PCNN) model of the cat visua...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2021
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/1031/1/012077