[HTML][HTML] Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
T Saba - Journal of infection and public health, 2020 - Elsevier
Cancer is a fatal illness often caused by genetic disorder aggregation and a variety of
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
pathological changes. Cancerous cells are abnormal areas often growing in any part of …
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 …
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
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 …
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 …
A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images
ON Oyelade, AE Ezugwu - Biomedical Signal Processing and Control, 2021 - Elsevier
Breast cancer is now widely known to be the second most lethal disease among women.
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …
Computer-aided detection (CAD) systems, deep learning (DL) in particular, have continued …
Human Gait Analysis: A Sequential Framework of Lightweight Deep Learning and Improved Moth‐Flame Optimization Algorithm
Human gait recognition has emerged as a branch of biometric identification in the last
decade, focusing on individuals based on several characteristics such as movement, time …
decade, focusing on individuals based on several characteristics such as movement, time …
Prediction of blood screening parameters for preliminary analysis using neural networks
Over time, the latest technologies and advancements in prediction algorithms are
unmasking the innovational ways of diagnosing, predicting, and cure of diseases related to …
unmasking the innovational ways of diagnosing, predicting, and cure of diseases related to …
[PDF][PDF] A unified design of ACO and skewness based brain tumor segmentation and classification from MRI scans
Brain tumor is among the major reasons for deaths among cancerous diseases around the
world. Medical imaging technologies used to detect brain tumor is very popular these days …
world. Medical imaging technologies used to detect brain tumor is very popular these days …