Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review
A Bhargava, A Bansal - Multimedia tools and applications, 2021 - Springer
The universal transmission of pandemic COVID-19 (Coronavirus) causes an immediate
need to commit in the fight across the whole human population. The emergencies for human …
need to commit in the fight across the whole human population. The emergencies for human …
A comprehensive review on multi-organs tumor detection based on machine learning
Tumor is comprised of abnormally growing regions that is dangerous for human survival.
Therefore, early stage tumor detection is useful for increase of survival rate although it is …
Therefore, early stage tumor detection is useful for increase of survival rate although it is …
Multiclass skin lesion classification using hybrid deep features selection and extreme learning machine
The variation in skin textures and injuries, as well as the detection and classification of skin
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
cancer, is a difficult task. Manually detecting skin lesions from dermoscopy images is a …
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 …
An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
Computer-aided gastrointestinal diseases analysis from wireless capsule endoscopy: a framework of best features selection
The continuous improvements in the area of medical imaging, makes the patient monitoring
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
a crucial concern. The internet of things (IoT) embedded in a medical technologies to collect …
Gastrointestinal diseases segmentation and classification based on duo-deep architectures
Nowadays, almost one million gastrointestinal patients are successfully treated by Wireless
Capsule Endoscopy (WCE). It is the latest technology in the area of medical imaging for the …
Capsule Endoscopy (WCE). It is the latest technology in the area of medical imaging for the …
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection
Automated skin lesion diagnosis from dermoscopic images is a difficult process due to
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …
several notable problems such as artefacts (hairs), irregularity, lesion shape, and irrelevant …
Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection
Automated detection and classification of gastric infections (ie, ulcer, polyp, esophagitis, and
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
bleeding) through wireless capsule endoscopy (WCE) is still a key challenge. Doctors can …
Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection
Lung cancer is a fatal type of cancer and it causes of severe deaths of approximately 422
people every day, worldwide. However, an early diagnosis is an expedient requirement for …
people every day, worldwide. However, an early diagnosis is an expedient requirement for …