Search
Now showing items 1-4 of 4
Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation
(Churchıll Lıvıngstone, 2020)
Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) images analysis due to its shape variation and vague boundary. The general hypothesis says that deep learning methods produce ...
Efficient deep features selections and classification for flower species recognition
(Elsevıer Scı Ltd, 2019)
Image-based automatic flower species classification is an important problem for the biologists who construct digital flower catalogs. A dozen of work about flower species recognition has been proposed so far based on ...
A novel retinal vessel detection approach based on multiple deep convolution neural networks
(Elsevıer Ireland Ltd, 2018)
Background and objective: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease ...
A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
(Elsevıer Scı Ltd, 2018)
Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically ...