[HTML][HTML] On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Automated prediction system for Alzheimer detection based on deep residual autoencoder and support vector machine
Alzheimer's disease (AD) is a type of neurological disorder and is a most frequent cause of
dementia across the world. The area of medical imaging has created an advancement in …
dementia across the world. The area of medical imaging has created an advancement in …
[HTML][HTML] An improved method for diagnosis of Parkinson's disease using deep learning models enhanced with metaheuristic algorithm
Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early
stages. Quantitative measures of brain health can be obtained safely and non-invasively …
stages. Quantitative measures of brain health can be obtained safely and non-invasively …
[HTML][HTML] An enhanced machine learning approach for brain MRI classification
Magnetic Resonance Imaging (MRI) is a noninvasive technique used in medical imaging to
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
[HTML][HTML] Research on Contactless Detection of Sow Backfat Thickness Based on Segmented Images with Feature Visualization
T Cao, X Li, X Liu, H Liang, H Wang, D Xu - Applied Sciences, 2024 - mdpi.com
Aiming to address the problem that the existing methods for detecting sow backfat thickness
are stressful, costly, and cannot detect in real time, this paper proposes a non-contact …
are stressful, costly, and cannot detect in real time, this paper proposes a non-contact …
Rock mineral volume inversion using statistical and machine learning algorithms for enhanced geothermal systems in Upper Rhine Graben, eastern France
P Joshua, G Marquis, V Maurer, C Glaas… - Journal of …, 2024 - Wiley Online Library
Accurately determining the mineralogical composition of rocks is essential for precise
assessments of key petrophysical properties like effective porosity, water saturation, clay …
assessments of key petrophysical properties like effective porosity, water saturation, clay …
[PDF][PDF] An Enhanced Machine Learning Approach for Brain MRI Classification. Diagnostics 2022, 12, 2791
MH Siddiqi, M Azad, Y Alhwaiti - 2022 - pdfs.semanticscholar.org
Magnetic Resonance Imaging (MRI) is a noninvasive technique used in medical imaging to
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
diagnose a variety of disorders. The majority of previous systems performed well on MRI …
Retracted: A Precise Medical Imaging Approach for Brain MRI Image Classification
C Intelligence - Computational Intelligence and Neuroscience, 2023 - ncbi.nlm.nih.gov
Retracted: A Precise Medical Imaging Approach for Brain MRI Image Classification - PMC Back
to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage …
[PDF][PDF] Brain Tumor Segmentation and Classification from MRI Images
A ÖZÇELİK, H ERKEN, M BÜYÜKBAŞ, H AKSEBZECİ - ICENTE'23, 2023 - vb.vgtu.lt
Brain tumors are crucial to human health as they can lead to severe disabilities or even life-
threatening consequences. Brain tumors consist of two types benign and malignant. Glioma …
threatening consequences. Brain tumors consist of two types benign and malignant. Glioma …