A package-SFERCB-“Segmentation, feature extraction, reduction and classification analysis by both SVM and ANN for brain tumors”
The objective of this experimentation is to develop an interactive CAD system for assisting
radiologists in multiclass brain tumor classification. The study is performed on a diversified …
radiologists in multiclass brain tumor classification. The study is performed on a diversified …
Fuzzy anisotropic diffusion based segmentation and texture based ensemble classification of brain tumor
Brain tumor is one of the major causes of death among other types of the cancers. Proper
and timely diagnosis can prevent the life of a person to some extent. Therefore we have …
and timely diagnosis can prevent the life of a person to some extent. Therefore we have …
[PDF][PDF] Prediction of lung cancer using image processing techniques: a review
AK Tiwari - Advanced Computational Intelligence: An International …, 2016 - academia.edu
Prediction of lung cancer is most challenging problem due to structure of cancer cell, where
most of the cells are overlapped each other. The image processing techniques are mostly …
most of the cells are overlapped each other. The image processing techniques are mostly …
A morphology-based radiological image segmentation approach for efficient screening of COVID-19
S Chakraborty, K Mali - Biomedical Signal Processing and Control, 2021 - Elsevier
Computer-aided radiological image interpretation systems can be helpful to reshape the
overall workflow of the COVID-19 diagnosis process. This article describes an unsupervised …
overall workflow of the COVID-19 diagnosis process. This article describes an unsupervised …
[PDF][PDF] Morphological techniques for medical images: A review
Image processing is playing a very important role in medical imaging with its versatile
applications and features towards the development of computer aided diagnostic systems …
applications and features towards the development of computer aided diagnostic systems …
Value based intelligent requirement prioritization (VIRP): expert driven fuzzy logic based prioritization technique
Requirement Prioritization is a very critical but often neglected area of requirement
engineering. Experience has shown that without proper prioritization of requirements …
engineering. Experience has shown that without proper prioritization of requirements …
Effective and reliable framework for lung nodules detection from CT scan images
Lung cancer is considered more serious among other prevailing cancer types. One of the
reasons for it is that it is usually not diagnosed until it has spread and by that time it becomes …
reasons for it is that it is usually not diagnosed until it has spread and by that time it becomes …
Brain tumor segmentation using genetic algorithm and ANN techniques
T Chithambaram, K Perumal - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
The Research of experiment is to develop an interaction CAD system as helpful medical in
multiple brain tumor classify. The Research is performance on a diversified dataset of 350 …
multiple brain tumor classify. The Research is performance on a diversified dataset of 350 …
Automatic fatigue detection of drivers through pupil detection and yawning analysis
This paper presents a non-intrusive fatigue detection system based on the video analysis of
drivers. The system relies on multiple visual cues to characterize the level of alertness of the …
drivers. The system relies on multiple visual cues to characterize the level of alertness of the …
[PDF][PDF] Early detection of lung cancer using neural network techniques
P Naresh, DR Shettar - Int Journal of Engineering, 2014 - academia.edu
Effective identification of lung cancer at an initial stage is an important and crucial aspect of
image processing. Several data mining methods have been used to detect lung cancer at …
image processing. Several data mining methods have been used to detect lung cancer at …