Survey on exact knn queries over high-dimensional data space
k nearest neighbours (kNN) queries are fundamental in many applications, ranging from
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
data mining, recommendation system and Internet of Things, to Industry 4.0 framework …
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Background The large volume and suboptimal image quality of portable chest X-rays
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans
SA Qureshi, L Hussain, U Ibrar, E Alabdulkreem… - Scientific reports, 2023 - nature.com
Accurate radiogenomic classification of brain tumors is important to improve the standard of
diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we …
diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we …
Different techniques for Alzheimer's disease classification using brain images: a study
Alzheimer's disease (AD) is a kind of dementia that is mostly experienced by people who are
in the age of early 60s. In AD, brain cells that are responsible for forming memories and …
in the age of early 60s. In AD, brain cells that are responsible for forming memories and …
Machine learning assisted methodology for multiclass classification of malignant brain tumors
Analysis of malignant and non-malignant brain tumors is done using a computer-aided
diagnosis system by practitioners worldwide. Radiologists refer computer-assisted …
diagnosis system by practitioners worldwide. Radiologists refer computer-assisted …
[HTML][HTML] One-vs-One classification for deep neural networks
For performing multi-class classification, deep neural networks almost always employ a One-
vs-All (OvA) classification scheme with as many output units as there are classes in a …
vs-All (OvA) classification scheme with as many output units as there are classes in a …
Disease detection in apple leaves using image processing techniques
S Alqethami, B Almtanni, W Alzhrani… - … , Technology & Applied …, 2022 - etasr.com
The agricultural sector in Saudi Arabia constitutes an essential pillar of the national
economy and food security. Crop diseases are a major problem of the agricultural sector …
economy and food security. Crop diseases are a major problem of the agricultural sector …
Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre-and early treatment predicts pathologic complete response
Purpose This study used machine learning classification of texture features from MRI of
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
[PDF][PDF] A multiclass plant leaf disease detection using image processing and machine learning techniques
N Ganatra, A Patel - International Journal on Emerging Technologies, 2020 - academia.edu
In Indian economy, Agriculture is considered as a one of the strongest pillars. Agriculture
sector contributes significantly in GDP of the country and it provides employability to many …
sector contributes significantly in GDP of the country and it provides employability to many …
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies
Prostate is a second leading causes of cancer deaths among men. Early detection of cancer
can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and …
can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and …