An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
A comparative study of features selection for skin lesion detection from dermoscopic images
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection
Brain tumor identification using magnetic resonance images (MRI) is an important research
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
domain in the field of medical imaging. Use of computerized techniques helps the doctors for …
Multi-model deep neural network based features extraction and optimal selection approach for skin lesion classification
Melanoma skin cancer is one of the most deadly forms of cancer which are responsible for
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection
In the agriculture farming business, weeds, pests, and other plant diseases are the major
reason for monetary misfortunes around the globe. It is an imperative factor, as it causes a …
reason for monetary misfortunes around the globe. It is an imperative factor, as it causes a …
Diagnosis and recognition of grape leaf diseases: An automated system based on a novel saliency approach and canonical correlation analysis based multiple …
Efficient and fast segmentation of fruit symptoms is one of the major businesses nowadays in
the agro-economy. Manual segmentation and recognition of fruit symptoms is a hard job …
the agro-economy. Manual segmentation and recognition of fruit symptoms is a hard job …
Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection
A malignant tumor in brain is detected using images from Magnetic Resonance scanners.
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images
Gastrointestinal tract (GIT) infections such as ulcers, bleeding, polyps, Crohn's disease and
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …
cancer are quite familiar today worldwide. Wireless capsule endoscopy (WCE) is an efficient …
Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction
The numbers of diagnosed patients by melanoma are drastic and contribute more deaths
annually among young peoples. An approximately 192,310 new cases of skin cancer are …
annually among young peoples. An approximately 192,310 new cases of skin cancer are …
Fruits diseases classification: exploiting a hierarchical framework for deep features fusion and selection
In agriculture farming business, plant diseases are one of the reasons for the financial
deficits around the globe. It is the fundamental factor, as it causes significant abatement in …
deficits around the globe. It is the fundamental factor, as it causes significant abatement in …