Comparative approach of MRI-based brain tumor segmentation and classification using genetic algorithm
The detection of a brain tumor and its classification from modern imaging modalities is a
primary concern, but a time-consuming and tedious work was performed by radiologists or …
primary concern, but a time-consuming and tedious work was performed by radiologists or …
Soft computing approaches for image segmentation: a survey
Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …
homogenous in some manner. The homogeneity dependents on some attributes like …
Systematic survey on generative adversarial networks for brain tumor segmentation and classification
Brain cancer is one of the leading diseases of death in the world caused due to unwanted
proliferation of cells. If left untreated, this growth can spread into other human body parts. So …
proliferation of cells. If left untreated, this growth can spread into other human body parts. So …
High-level synthesis of online k-means clustering hardware for a real-time image processing pipeline
A Badawi, M Bilal - Journal of Imaging, 2019 - mdpi.com
The growing need for smart surveillance solutions requires that modern video capturing
devices to be equipped with advance features, such as object detection, scene …
devices to be equipped with advance features, such as object detection, scene …
Feature extraction and selection with optimization technique for brain tumor detection from MR images
Brain tumor detection and extraction within the time frame to offer better healthcare is vital
and very important, but a time-consuming task performed by clinical supervisors or …
and very important, but a time-consuming task performed by clinical supervisors or …
[HTML][HTML] Validation of segmented brain tumor from MRI images using 3D printing
UA Nayak, M Balachandra, KN Manjunath… - Asian Pacific journal of …, 2021 - ncbi.nlm.nih.gov
Background: Early diagnosis of a brain tumor is important for improving the treatment
possibilities. Manually segmenting the tumor from the volumetric data is time-consuming …
possibilities. Manually segmenting the tumor from the volumetric data is time-consuming …
WT-MO algorithm: automated hematological software based on the watershed transform for blood cell count
Visual examination of blood smears is an essential tool for analysis, prevention, and
remediation of several types of maladies. The interest of computer-aided decision has been …
remediation of several types of maladies. The interest of computer-aided decision has been …
Efficient digital camouflage pattern generation algorithm based on improved GA-K-means clustering algorithm
J Shi, L Deng, C Liao, B Ren - Third International Symposium …, 2024 - spiedigitallibrary.org
Efficient algorithms for generating digital camouflage patterns are widely used in the fields of
smart windows, electronic skin, and bionic electronics. In this paper, a digital camouflage …
smart windows, electronic skin, and bionic electronics. In this paper, a digital camouflage …
MR image enhancement and brain tumour detection using soft computing and BWT with auto-enhance technique
In this research work new algorithm using soft-computing is presented for medical image
enhancement with auto-enhance technique. Image enhancement is one of the most …
enhancement with auto-enhance technique. Image enhancement is one of the most …
[PDF][PDF] Less-known tourist attraction analysis using clustering geo-tagged photographs via X-means
Today, travelers can readily travel around the world using convenient transportation. Not
only are opportunities to go abroad for sightseeing is increasing, but tourism industries of …
only are opportunities to go abroad for sightseeing is increasing, but tourism industries of …