Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges
A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
[HTML][HTML] Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Manual identification of brain tumors is an error-prone and tedious process for radiologists;
therefore, it is crucial to adopt an automated system. The binary classification process, such …
therefore, it is crucial to adopt an automated system. The binary classification process, such …
Brain tumor detection and multi‐classification using advanced deep learning techniques
A brain tumor is an uncontrolled development of brain cells in brain cancer if not detected at
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
Prediction of COVID-19-pneumonia based on selected deep features and one class kernel extreme learning machine
In this work, we propose a deep learning framework for the classification of COVID-19
pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional …
pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional …
Deep convolutional neural networks with ensemble learning and transfer learning for automated detection of gastrointestinal diseases
Q Su, F Wang, D Chen, G Chen, C Li, L Wei - Computers in Biology and …, 2022 - Elsevier
Gastrointestinal (GI) diseases are serious health threats to human health, and the related
detection and treatment of gastrointestinal diseases place a huge burden on medical …
detection and treatment of gastrointestinal diseases place a huge burden on medical …
[HTML][HTML] A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection
With an overwhelming increase in the demand of autonomous systems, especially in the
applications related to intelligent robotics and visual surveillance, come stringent accuracy …
applications related to intelligent robotics and visual surveillance, come stringent accuracy …
[HTML][HTML] A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
Glaucoma is currently leading retinal disease, which damages the eye because of the
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
Intraocular pressure (IOP) on the eye. If glaucoma is left untreated it will lead to vision loss …
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Human gait recognition (HGR) shows high importance in the area of video surveillance due
to remote access and security threats. HGR is a technique commonly used for the …
to remote access and security threats. HGR is a technique commonly used for the …
StomachNet: Optimal deep learning features fusion for stomach abnormalities classification
A fully automated design is proposed in this work employing optimal deep learning features
for classifying gastrointestinal infections. Here, three prominent infections–ulcer, bleeding …
for classifying gastrointestinal infections. Here, three prominent infections–ulcer, bleeding …