[HTML][HTML] A comprehensive survey of deep learning algorithms and applications in dental radiograph analysis
The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …
resulted in many applications like automatic teeth identification and numbering, caries …
Revolutionizing Healthcare: How Machine Learning is Transforming Patient Diagnoses-a Comprehensive Review of AI's Impact on Medical Diagnosis
The integration of machine learning into healthcare heralds a new era where the
convergence of technology and human compassion reshapes the very essence of healing …
convergence of technology and human compassion reshapes the very essence of healing …
Intelligent ultrasound imaging for enhanced breast cancer diagnosis: Ensemble transfer learning strategies
According to WHO statistics for 2018, there are 1.2 million cases and 700,000 deaths from
breast cancer (BC) each year, making it the second-highest cause of mortality for women …
breast cancer (BC) each year, making it the second-highest cause of mortality for women …
Multistage transfer learning for medical images
Deep learning is revolutionizing various domains and significantly impacting medical image
analysis. Despite notable progress, numerous challenges remain, necessitating the …
analysis. Despite notable progress, numerous challenges remain, necessitating the …
Graph convolution networks for social media trolls detection use deep feature extraction
This study presents a novel approach to identifying trolls and toxic content on social media
using deep learning. We developed a machine-learning model capable of detecting toxic …
using deep learning. We developed a machine-learning model capable of detecting toxic …
Novel transfer learning based deep features for diagnosis of down syndrome in children using facial images
Down syndrome is a chromosomal condition characterized by the existence of an additional
copy of chromosome 21. This genetic anomaly leads to a range of developmental …
copy of chromosome 21. This genetic anomaly leads to a range of developmental …
A novel hybrid model in the diagnosis and classification of Alzheimer's disease using EEG signals: Deep ensemble learning (DEL) approach
Recent years have witnessed a surge of sophisticated computer-aided diagnosis techniques
involving Artificial Intelligence (AI) to accurately diagnose and classify Alzheimer's disease …
involving Artificial Intelligence (AI) to accurately diagnose and classify Alzheimer's disease …
An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer
The performance of neural network is largely dependent on their capability to extract very
discriminant features supporting the characterization of abnormalities in the medical image …
discriminant features supporting the characterization of abnormalities in the medical image …
Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods
JH Lee, EK Ku, YS Chung, YJ Kim, KG Kim - Surgical Endoscopy, 2024 - Springer
Background Postoperative hypoparathyroidism is a major complication of thyroidectomy,
occurring when the parathyroid glands are inadvertently damaged during surgery. Although …
occurring when the parathyroid glands are inadvertently damaged during surgery. Although …
CViTS-Net: A CNN-ViT Network with Skip Connections for Histopathology Image Classification
Histopathological image classification stands as a cornerstone in the pathological diagnosis
workflow, yet it remains challenging due to the inherent complexity of histopathological …
workflow, yet it remains challenging due to the inherent complexity of histopathological …