A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition

Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction

(2020) Amjad Rehman et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection

(2020) Abdul Majid et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion

(2019) Muhammad Attique Khan et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection

(2019) M. Attique Khan et al.   PATTERN RECOGNITION LETTERS

Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

(2019) Muhammad Irfan Sharif et al.   PATTERN RECOGNITION LETTERS

An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification

(2018) M. Attique Khan et al.   BMC CANCER

An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach

(2018) Muhammad Nasir et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

(2018) Shanwen Zhang et al.   OPTIK

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

(2018) Juncheng Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An automated detection and classification of citrus plant diseases using image processing techniques: A review

(2018) Zahid Iqbal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automated leaf disease detection in different crop species through image features analysis and One Class Classifiers

(2018) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

(2018) Muhammad Attique Khan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A survey of image processing techniques for plant extraction and segmentation in the field

(2016) Esmael Hamuda et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Cucumber disease recognition based on Global-Local Singular value decomposition

(2016) Shanwen Zhang et al.   NEUROCOMPUTING

An effective fuzzy C-means algorithm based on symmetry similarity approach

(2015) Zarita Zainuddin et al.   APPLIED SOFT COMPUTING