… An early detection can be performed in well manner by using our proposed frame work.
All other fundamental performance parameters show the the performance of the proposed …

… Four classification algorithms applied in this study were support vector machine (SVM), k-…
in the early detection of CKD. These techniques are supportive of experts and doctors in early …

… and classify six different types of … detect and classify plant leaf disease with an accuracy of
93.75% [22]. The image processing technology and classification algorithm detect and classify …

… learning based image classification and deep learning based object detection frameworks
for the use on oral lesion detection and classification for the early detection of oral cancer. …

… The breast cancer classification is a medical method that … data classification. In this paper,
Deep Learning assisted Efficient Adaboost Algorithm (DLA-EABA) for breast cancer detection …

… Early detection of Alzheimer’s disease plays a crucial role in … a framework for the early
detection and classification of the … preprocessing algorithms, and medical image classification …

… was used for early detection of symptom of this deadly ailment [8] employing dataset of 520
subjects with 16 attributes (symptoms), on different classification algorithms and reported that …

… high-throughput system for the early detection and classification of live microorganisms and
… to detect bacterial growth as early as possible, and the second DNN is used to classify the …

… algorithm results with the highest accuracy of 79.23% as compared to the rest of the classification
… early detection and classification of the new image diseases as a preventive measure. …

… two classes in a binary classification task among the sagittal, … classify AD. Thus, the brain
regions with most intersection points were considered as those mostly contributing to the early …