Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
Fuzzy C-Means clustering based selective edge enhancement scheme for improved road crack detection
One of the most serious problems currently in the world is road cracking, which could lower
traffic safety and raise the risk of road accidents. A substantial sum of money is spent …
traffic safety and raise the risk of road accidents. A substantial sum of money is spent …
Road crack detection using pixel classification and intensity-based distinctive fuzzy C-means clustering
Road cracks are quickly becoming one of the world's most serious concerns. It may have an
impact on traffic safety and increase the likelihood of road accidents. A significant amount of …
impact on traffic safety and increase the likelihood of road accidents. A significant amount of …
A Comprehensive Review on Analysing of Brain Signals Using Different Clustering Methods
Classification and clustering are crucial tasks in analyzing brain signals, which can be
broadly categorized into two main methods: invasive and non-invasive. Invasive techniques …
broadly categorized into two main methods: invasive and non-invasive. Invasive techniques …
Improved Road Crack Detection using Histogram Equalization based Fuzzy-C Means Technique
The road cracks are one of the major concerns in all over the world nowadays. It may cause
road safety and increase the chance of accidents on the road. Every year a lot of the money …
road safety and increase the chance of accidents on the road. Every year a lot of the money …