A new super resolution Faster R-CNN model based detection and classification of urine sediments

Median modified wiener filter for improving the image quality of gamma camera images

(2020) Chan Rok Park et al.   Nuclear Engineering and Technology

Image super-resolution via multi-view information fusion networks

(2020) Xinrui Jiang et al.   NEUROCOMPUTING

Image fire detection algorithms based on convolutional neural networks

(2020) Pu Li et al.   Case Studies in Thermal Engineering

Image super-resolution reconstruction based on sparse representation and deep learning

(2020) Jing Zhang et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

Similarity hash based scoring of portable executable files for efficient malware detection in IoT

(2019) Anitta Patience Namanya et al.   Future Generation Computer Systems-The International Journal of eScience

A multi-context CNN ensemble for small lesion detection

(2019) B. Savelli et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

A visual long-short-term memory based integrated CNN model for fabric defect image classification

(2019) Yudi Zhao et al.   NEUROCOMPUTING

Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy

(2019) Fatih Özyurt et al.   MEASUREMENT

A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network

(2019) Eser Sert et al.   MEDICAL HYPOTHESES

An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine

(2019) Fatih Özyurt et al.   MEDICAL HYPOTHESES

Object detection based on deep learning for urine sediment examination

(2018) Yixiong Liang et al.   Biocybernetics and Biomedical Engineering

Malware identification using visualization images and deep learning

(2018) Sang Ni et al.   COMPUTERS & SECURITY

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A New Method Based on Adaptive Discrete Wavelet Entropy Energy and Neural Network Classifier (ADWEENN) for Recognition of Urine Cells from Microscopic Images Independent of Rotation and Scaling

(2014) Derya Avci et al.   JOURNAL OF MEDICAL SYSTEMS

False positive reduction in urinary particle recognition

(2009) Yan Liang et al.   EXPERT SYSTEMS WITH APPLICATIONS