A new feature extraction framework based on wavelets for breast cancer diagnosis
This paper investigates a pattern recognition framework in order to determine and classify
breast cancer cases. Initially, a two-class separation study classifying normal and abnormal …
breast cancer cases. Initially, a two-class separation study classifying normal and abnormal …
Design of a Gabor filter HW accelerator for applications in medical imaging
GD Licciardo, C Cappetta… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The Gabor filter (GF) has been proved to show good spatial frequency and position
selectivity, which makes it a very suitable solution for visual search, object recognition, and …
selectivity, which makes it a very suitable solution for visual search, object recognition, and …
FKP and Iris based multimodal biometric system using PCA with NFNN
The Biometric system is an important pattern-based identification system that is widely
incorporated in various sectors for authenticating human beings using various biometric …
incorporated in various sectors for authenticating human beings using various biometric …
[PDF][PDF] Multi-label classification using label combination to recognize human activity based on various sensor positions
MS Zainudin, R Mohamed, MN Sulaiman… - Proceedings of the …, 2017 - researchgate.net
Activity recognition using accelerometer sensor shows the good and positive impact in
current health style perseverance. The sensor already built in the various smartphones …
current health style perseverance. The sensor already built in the various smartphones …
An Advanced Deep Learning Medical Image Recognition and Diagnosis of Respiratory System Viruses
MB Tayel, AMM El Fahar… - … Conference on Computer …, 2022 - ieeexplore.ieee.org
Respiratory infections are a confusing and time-consuming task that caused recently a
pandemic that affected the whole world. One of the pandemics was COVID-19 that has …
pandemic that affected the whole world. One of the pandemics was COVID-19 that has …
Machine learning-based detection and classification of lung cancer
Cancer is termed to be one of the life-threatening diseases in the world. Among various
types of cancer, the highest mortality and morbidity rate recorded is from lung cancer …
types of cancer, the highest mortality and morbidity rate recorded is from lung cancer …
Recognizing stationary and locomotion activities using combinational of spectral analysis with statistical descriptors features
MN Zainudin, MN Sulaiman, N Mustapha… - AIP Conference …, 2017 - pubs.aip.org
Prior knowledge in pervasive computing recently garnered a lot of attention due to its high
demand in various application domains. Human activity recognition (HAR) considered as …
demand in various application domains. Human activity recognition (HAR) considered as …
[PDF][PDF] An improved classification approach for echocardiograms embedding temporal information
W Li - 2016 - core.ac.uk
Cardiovascular disease is an umbrella term for all diseases of the heart. At present,
computer-aided echocardiogram diagnosis is becoming increasingly beneficial. For …
computer-aided echocardiogram diagnosis is becoming increasingly beneficial. For …
[PDF][PDF] Development of pattern analysis and machine learning technique for cancer diagnosis
A Kumar - 2020 - elibrary.ddn.upes.ac.in
Breast cancer is one of the major modern day problem in medical science that causes the
death of thousands of women worldwide. One of the effective measures to confront this …
death of thousands of women worldwide. One of the effective measures to confront this …