Deep-learning framework to detect lung abnormality–A study with chest X-Ray and lung CT scan images
Lung abnormalities are highly risky conditions in humans. The early diagnosis of lung
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
abnormalities is essential to reduce the risk by enabling quick and efficient treatment. This …
Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …
Customized VGG19 architecture for pneumonia detection in chest X-rays
Pneumonia is one of the major illnesses in children and aged humans due to the Infection in
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
the lungs. Early analysis of pneumonia is necessary to prepare for a possible treatment …
Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images
Glioma is a kind of brain tumor that can arise at a distinct location along with dissimilar
appearance and size. The high-grade glioma (HGG) is a serious kind of cancer when …
appearance and size. The high-grade glioma (HGG) is a serious kind of cancer when …
VGG19 network assisted joint segmentation and classification of lung nodules in CT images
Pulmonary nodule is one of the lung diseases and its early diagnosis and treatment are
essential to cure the patient. This paper introduces a deep learning framework to support the …
essential to cure the patient. This paper introduces a deep learning framework to support the …
Harmony-search and otsu based system for coronavirus disease (COVID-19) detection using lung CT scan images
Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to
serious threats for all age groups. The proposed work aims to extract and evaluate the …
serious threats for all age groups. The proposed work aims to extract and evaluate the …
A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection
Brain tumor (BT) is one of the brain abnormalities which arises due to various reasons. The
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …
Social group optimization–assisted Kapur's entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography …
Abstract The coronavirus disease (COVID-19) caused by a novel coronavirus, SARS-CoV-2,
has been declared a global pandemic. Due to its infection rate and severity, it has emerged …
has been declared a global pandemic. Due to its infection rate and severity, it has emerged …
[KNIHA][B] Computer Vision and Recognition Systems: Research Innovations and Trends
This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …
Automated segmentation of leukocyte from hematological images—a study using various CNN schemes
Medical images play a fundamental role in disease screening, and automated evaluation of
these images is widely preferred in hospitals. Recently, Convolutional Neural Network …
these images is widely preferred in hospitals. Recently, Convolutional Neural Network …