Combining convolutional and recurrent neural networks for classification of focal liver lesions in multi-phase CT images

D Liang, L Lin, H Hu, Q Zhang, Q Chen… - … Image Computing and …, 2018 - Springer
Computer-aided diagnosis (CAD) systems are useful for assisting radiologists with clinical
diagnoses by classifying focal liver lesions (FLLs) based on multi-phase computed …

Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions

J Wang, J Li, XH Han, L Lin, H Hu, Y Xu, Q Chen… - Pattern Recognition …, 2020 - Elsevier
Medical images play an important role in clinics. In most clinic sites, the diagnosis of
diseases and the comprehending of disease progression need firstly accurate interpretation …

Food recognition by combined bags of color features and texture features

S Sasano, XH Han, YW Chen - 2016 9th international congress …, 2016 - ieeexplore.ieee.org
Food is one of the most important issues for human health. In order to manage the healthy
dietary life, we are going to develop an auto food-log record system, which is based on auto …

Residual convolutional neural networks with global and local pathways for classification of focal liver lesions

D Liang, L Lin, H Hu, Q Zhang, Q Chen… - PRICAI 2018: Trends in …, 2018 - Springer
Computer-aided diagnosis (CAD) systems are useful in assisting radiologists with clinical
diagnoses by classifying focal liver lesions based on computed tomography (CT) images …

A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial

J Wang, XH Han, L Lin, H Hu, YW Chen - Proceedings of the 2021 …, 2021 - dl.acm.org
Clinicians refer to diagnosed medical cases in order to make correct diagnosis and take
appropriate treatments, due to the complexity of focal liver lesions. It's a heavy burden …

Multiphase Focal Liver Lesions Classification with Combined N-gram and BoVW

H Huang, Z Ji, L Lin, Z Liao, Q Chen, H Hu… - Innovation in Medicine …, 2019 - Springer
The bag-of-visual-words (BoVW) model has emerged as an effective approach to represent
features for focal liver lesions (FLLs). However, most of the previous methods have the …

Deep Neural Network-Based Classification of Focal Liver Lesions Using Phase-Shuffle Prediction Pre-training

J Song, H Dong, Y Chen, L Lin, H Hu… - … KES Conference on …, 2023 - Springer
Computer-aided diagnosis plays an important role in focal liver lesion diagnosis
(classification) which is one of the leading causes of death worldwide. Due to their superior …

Automated Retrieval of Focal Liver Lesions in Multi-phase CT Images Using Tensor Sparse Representation

J Wang, J Zhao, XH Han, L Lin, H Hu, Y Xu… - Innovation in Medicine …, 2021 - Springer
Content based image retrieval (CBIR) that searches for similar images in a large database
has been attracting increasing research interest recently, and it has been applied to medical …

Sparse Modeling in Analysis for Multidisciplinary Medical Data

J Wang, Y Iwamoto, XH Han, L Lin, H Hu… - … : Toward Integration of …, 2022 - Springer
Multi-phase CT images, which is also known as dynamic CT images, are widely used for the
diagnosis of focal liver lesions. In addition to 3-dimensional spatial information, the multi …

CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT …

D Liang, Y Xu, L Lin, N Zhou, H Hu, Q Zhang… - … in Information and …, 2020 - intlpress.com
Automatic focal liver lesion (FLL) classification based on multiphase computed tomography
(CT) images is one of the most crucial components of a computer-aided diagnosis (CAD) …