Modified transform‐based gamma correction for MRI tumor image denoising and segmentation by optimized histon‐based elephant herding algorithm
S Kollem, K Rama Linga Reddy… - … Journal of Imaging …, 2020 - Wiley Online Library
Medical image processing is typically performed to diagnose a patient's brain tumor prior to
surgery. In this study, a technique in denoising and segmentation was developed to improve …
surgery. In this study, a technique in denoising and segmentation was developed to improve …
Segmentation of spinal cord from computed tomography images based on level set method with Gaussian kernel
In the human body, organs segmentation is the most imperative issues in therapeutic
applications. The challenges are connected with medicinal image segmentation and low …
applications. The challenges are connected with medicinal image segmentation and low …
Detection of glaucoma in retinal image using support vector machine
Glaucoma disease causes the loss of eye sight if unnoticed. Earlier detection and the extent
to which the disease is progressed may provide good suggestions to the physicians for …
to which the disease is progressed may provide good suggestions to the physicians for …
Disease monitoring of the crops after segmentation and IoT based sensing of soil water level
The practical problems in the present irrigation methods are overcome by sensing the local
soil water level. If the water level is low, the system sprinkles water by using pump motor by …
soil water level. If the water level is low, the system sprinkles water by using pump motor by …
Cancer prediction for type-2 diabetes using machine learning
Type-2 diabetic patients may easily get suffered from cancer. The presented work in this
paper predicts whether the diabetic patient has got cancer problem or not. If cancer is …
paper predicts whether the diabetic patient has got cancer problem or not. If cancer is …