A holistic overview of deep learning approach in medical imaging
Medical images are a rich source of invaluable necessary information used by clinicians.
Recent technologies have introduced many advancements for exploiting the most of this …
Recent technologies have introduced many advancements for exploiting the most of this …
The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
Early diagnosis of brain tumour mri images using hybrid techniques between deep and machine learning
EM Senan, ME Jadhav, TH Rassem… - … Methods in Medicine, 2022 - Wiley Online Library
Cancer is considered one of the most aggressive and destructive diseases that shortens the
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
average lives of patients. Misdiagnosed brain tumours lead to false medical intervention …
ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides
Carcinoma is a primary source of morbidity in women globally, with metastatic disease
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
accounting for most deaths. Its early discovery and diagnosis may significantly increase the …
Eye tracking-based diagnosis and early detection of autism spectrum disorder using machine learning and deep learning techniques
Eye tracking is a useful technique for detecting autism spectrum disorder (ASD). One of the
most important aspects of good learning is the ability to have atypical visual attention. The …
most important aspects of good learning is the ability to have atypical visual attention. The …
Gamma function based ensemble of CNN models for breast cancer detection in histopathology images
Breast cancer is the second deadliest disease amongst women worldwide. Breast
histopathology image analysis is one of the most powerful ways used for the detection of …
histopathology image analysis is one of the most powerful ways used for the detection of …
Deep CNN model based on VGG16 for breast cancer classification
Deep learning (DL) technologies are becoming a buzzword these days, especially for breast
histopathology image tasks, such as diagnosing, due to the high performance obtained in …
histopathology image tasks, such as diagnosing, due to the high performance obtained in …
Score and Correlation Coefficient‐Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms
Cardiovascular disease (CVD) is one of the most common causes of death that kills
approximately 17 million people annually. The main reasons behind CVD are myocardial …
approximately 17 million people annually. The main reasons behind CVD are myocardial …
Deep learning and machine learning techniques of diagnosis dermoscopy images for early detection of skin diseases
With the increasing incidence of severe skin diseases, such as skin cancer, endoscopic
medical imaging has become urgent for revealing the internal and hidden tissues under the …
medical imaging has become urgent for revealing the internal and hidden tissues under the …
Deep learning algorithms for detection and classification of gastrointestinal diseases
M Hmoud Al-Adhaileh, E Mohammed Senan… - …, 2021 - Wiley Online Library
Currently, nearly two million patients die of gastrointestinal diseases worldwide. Video
endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of …
endoscopy is one of the latest technologies in the medical imaging field for the diagnosis of …