A novel nonlinear hybrid HardSReLUE activation function in transfer learning architectures for hemorrhage classification

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A Real-Time Apple Targets Detection Method for Picking Robot Based on Improved YOLOv5

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Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images

(2021) Guyue Zhang et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A robust real-time deep learning based automatic polyp detection system

(2021) Ishak Pacal et al.   COMPUTERS IN BIOLOGY AND MEDICINE

RSigELU: A nonlinear activation function for deep neural networks

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Delving deep into spatial pooling for squeeze-and-excitation networks

(2021) Xin Jin et al.   PATTERN RECOGNITION

Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network

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Gabor Filter and Machine learning Based Diabetic Retinopathy Analysis and Detection

(2020) Vijayan T et al.   MICROPROCESSORS AND MICROSYSTEMS

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

(2020) Serhat KILICARSLAN et al.   Biomedical Signal Processing and Control

Shape autotuning activation function

(2020) Yuan Zhou et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Survey on Deep Learning for Named Entity Recognition

(2020) Jing Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning

(2019) Shaveta Dargan et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis

(2019) Xin Wang et al.   NEUROCOMPUTING

Automated diabetic retinopathy grading and lesion detection based on the modified R-FCN object detection algorithm

(2019) Jianxu Luo et al.   IET Computer Vision

A survey of deep learning techniques for autonomous driving

(2019) Sorin Grigorescu et al.   Journal of Field Robotics

Diabetic retinopathy detection using red lesion localization and convolutional neural networks

(2019) Gabriel Tozatto Zago et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An ensemble deep learning based approach for red lesion detection in fundus images

(2018) José Ignacio Orlando et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Exudate detection for diabetic retinopathy with circular Hough transformation and convolutional neural networks

(2018) Kemal Adem   EXPERT SYSTEMS WITH APPLICATIONS

Deep convolutional neural networks for diabetic retinopathy detection by image classification

(2018) Shaohua Wan et al.   COMPUTERS & ELECTRICAL ENGINEERING

Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification

(2018) Kemal Adem et al.   EXPERT SYSTEMS WITH APPLICATIONS

Linearized sigmoidal activation: A novel activation function with tractable non-linear characteristics to boost representation capability

(2018) Vivek Singh Bawa et al.   EXPERT SYSTEMS WITH APPLICATIONS

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

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