Related references
Note: Only part of the references are listed.Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier
P. Mohamed Shakeel et al.
NEURAL COMPUTING & APPLICATIONS (2022)
Brain tumor diagnosis based on metaheuristics and deep learning
An Hu et al.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2021)
The state of the art of deep learning models in medical science and their challenges
Chandradeep Bhatt et al.
MULTIMEDIA SYSTEMS (2021)
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN
Jindong Sun et al.
NEUROCOMPUTING (2021)
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm
Xiuzhen Cai et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Sweta Bhattacharya et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Efficient 3D Deep Learning Model for Medical Image Semantic Segmentation
Nasser Alalwan et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic
Francisco Erivaldo Fernandes Jr et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
LCP-Net: A local context-perception deep neural network for medical image segmentation
Dunlu Peng et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Essam H. Houssein et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A New optimized sequential method for lung tumor diagnosis based on deep learning and converged search and rescue algorithm
Qingji Tian et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics
Zhiqiang Guo et al.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2021)
3D-PulCNN: Pulmonary cancer classification from hyperspectral images using convolution combination unit based CNN
Qing Zhang et al.
JOURNAL OF BIOPHOTONICS (2021)
Recent Advances in Medical Image Processing
Zhen Huang et al.
ACTA CYTOLOGICA (2021)
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Mesut Togacar et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)
BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model
Mesut Togacar et al.
MEDICAL HYPOTHESES (2020)
A Survey of Accelerator Architectures for Deep Neural Networks
Yiran Chen et al.
ENGINEERING (2020)
A review on medical image denoising algorithms
Sameera V. Mohd Sagheer et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Multi-path connected network for medical image segmentation
Dan Wang et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2020)
StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning
Kihwan Choi et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2020)
Novel superpixel-based algorithm for segmenting lung images via convolutional neural network and random forest
Caixia Liu et al.
IET IMAGE PROCESSING (2020)
Brain Tumor Segmentation from MRI Images using Hybrid Convolutional Neural Networks
Dinthisrang Daimary et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
Image Restoration for Low-Dose CT via Transfer Learning and Residual Network
Anni Zhong et al.
IEEE ACCESS (2020)
A gentle introduction to deep learning in medical image processing
Andreas Maier et al.
ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK (2019)
ResUNet plus plus : An Advanced Architecture for Medical Image Segmentation
Debesh Jha et al.
2019 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2019) (2019)
Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging
Shizuo Kaji et al.
RADIOLOGICAL PHYSICS AND TECHNOLOGY (2019)
Stable architectures for deep neural networks
Eldad Haber et al.
INVERSE PROBLEMS (2018)
Using Deep Neural Networks for Inverse Problems in Imaging Beyond analytical methods
Alice Lucas et al.
IEEE SIGNAL PROCESSING MAGAZINE (2018)
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
Qingsong Yang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Image compression techniques: A survey in lossless and lossy algorithms
A. J. Hussain et al.
NEUROCOMPUTING (2018)
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar et al.
JOURNAL OF MEDICAL SYSTEMS (2018)
Deep neural architectures for prediction in healthcare
Dimitrios Kollias et al.
COMPLEX & INTELLIGENT SYSTEMS (2018)
Convolutional Neural Networks for Inverse Problems in Imaging A review
Michael T. McCann et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Understanding convolutional neural networks with a mathematical model
C. -C. Jay Kuo
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2016)
Deep Neural Nets as a Method for Quantitative Structure-Activity Relationships
Junshui Ma et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2015)
Big Data Deep Learning: Challenges and Perspectives
Xue-Wen Chen et al.
IEEE ACCESS (2014)
Computer Aided Diagnosis System for Breast Cancer Based on Color Doppler Flow Imaging
Yan Liu et al.
JOURNAL OF MEDICAL SYSTEMS (2012)
Highly Sensitive Computer Aided Diagnosis System for Breast Tumor Based on Color Doppler Flow Images
Xian-Fen Diao et al.
JOURNAL OF MEDICAL SYSTEMS (2011)
Region-based segmentation of 2D and 3D images with tissue-like P systems
Hepzibah A. Christinal et al.
PATTERN RECOGNITION LETTERS (2011)
Modern approach of diagnosis and management of acute flank pain: Review of all imaging modalities
A Heidenreich et al.
EUROPEAN UROLOGY (2002)
Share Paper
