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ORCIDInternational Journal of Imaging Systems and Technology, Volume 35
Volume 35, Number 1, January 2025
Research Article
- Yongli Xian
, Guangxin Zhao, Xuejian Chen, Congzheng Wang:
DCFU-Net: Rethinking an Effective Attention and Convolutional Architecture for Retinal Vessel Segmentation. - Saqib Mamoon, Zhengwang Xia, Amani Alfakih, Jianfeng Lu:
Diffusion-Based Causality-Preserving Neural Network for Dementia Recognition. - T. R. Mahesh, Surbhi Bhatia Khan, Kritika Kumari Mishra, Saeed Alzahrani, Mohammed Alojail:
Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques. - Shengchang Shan, Yijie Ren, Zhuqing Jiao, Xiaona Li:
MTGWNN: A Multi-Template Graph Wavelet Neural Network Identification Model for Autism Spectrum Disorder. - Muhammad Zeeshan Tahir, Xingzheng Lyu, Muhammad Nasir, Sanyuan Zhang:
Advanced Image Enhancement and a Lightweight Feature Pyramid Network for Detecting Microaneurysms in Diabetic Retinopathy Screening. - Liu Xiong, Chunxia Chen, Yongping Lin, Zhiyu Song, Jialin Su:
A Three-Step Automated Segmentation Method for Early Cervical Cancer MRI Images Based on Deep Learning. - Jianwu Long, Jiayin Liu, Chengxin Yang:
Semi-Supervised Medical Image Segmentation Based on Feature Similarity and Multi-Level Information Fusion Consistency. - Zengan Huang, Qinzhu Yang, Mu Tian, Yi Gao:
Synthesizing Images With Annotations for Medical Image Segmentation Using Diffusion Probabilistic Model. - Anita Thengade, A. M. Rajurkar, Sanjay N. Talbar:
Deep Depthwise Residual Network for Knee Meniscus Segmentation From Magnetic Resonance Imaging. - Erfan AkbarnezhadSany, Hossein Entezari Zarch, Mohammad AlipoorKermani, Baharak Shahin, Mohsen Cheki, Aida Karami, Samaneh Zahedi, Zahra AhmadPour, Sadegh Ahmadi-Mazhin, Ali Rahimnezhad, Sahar Sayfollahi, Salar Bijari, Melika Shojaee, Seyed Masoud Rezaeijo:
YOLOv8 Outperforms Traditional CNN Models in Mammography Classification: Insights From a Multi-Institutional Dataset. - Zefeng Liu, Zhenyu Liu:
DBE-Net: A Dual-Branch Boundary Enhancement Network for Pathological Image Segmentation. - Ying Wu, Faming Li, Bo Xu:
C-TUnet: A CNN-Transformer Architecture-Based Ultrasound Breast Image Classification Network. - Qichen Su, Haza Nuzly Abdull Hamed, Dazhuo Zhou:
Relation Explore Convolutional Block Attention Module for Skin Lesion Classification. - Yuanyuan Peng, Jiawei Liao, Xuemei Xu, Zixu Zhang, Siqiang Zhu:
Interactive Pulmonary Lobe Segmentation in CT Images Based on Oriented Derivative of Stick Filter and Surface Fitting Model. - Jiawen Lin, Shilin Liu, Meiyan Mao, Susu Chen:
Microaneurysm Detection With Multiscale Attention and Trident RPN. - Mingtao Liu, Yunyu Wang, Yuxuan Li, Shunbo Hu, Guodong Wang, Jing Wang:
A Novel Edge-Enhanced Networks for Optic Disc and Optic Cup Segmentation. - Muhammad Sajid, Ali Haider Khan, Tauqeer Safdar Malik, Anas Bilal, Zohaib Ahmad, Raheem Sarwar:
Enhancing Melanoma Diagnostic: Harnessing the Synergy of AI and CNNs for Groundbreaking Advances in Early Melanoma Detection and Treatment Strategies. - Ji Ma, Yetao Xie, Jinjin Chen:
TransGAN: A Transformer-CNN Mixed Model for Volumetric CT to MRI Modality Translation and Visualization. - Sneha Noble, Uma Gopalakrishnan, D. K. Vijaykumar, Rahul Krishnan Pathinarupothi:
Rapid Early Screening for Lymphedema Using Kinect. - Selma Mammeri, Mohamed Yassine Haouam, Mohamed Amroune, Issam Bendib, Elhadj Benkhelifa:
A Cascade Model to Detect and Segment Lung Nodule Using YOLOv8 and Resnet50U-Net. - Peng He, Qian qian Kong, Yun Chen, Chang-Bin Shao, Zhen Su:
Pancreas Segmentation Based on Multi-Stage Attention Enhanced U-Net. - Yuhua Li, Shan Jiang, Zhiyong Yang, Liwen Wang, Zifeng Liu, Zeyang Zhou:
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU-Net. - Yulan Yan, Yinwei Zhan, Huiyao He:
Adaptive Fusion and Edge-Oriented Enhancement for Brain Tumor Segmentation With Missing Modalities. - Jian Chen, Mengting Guang, Geng Chen, Xiong Yao, Tewodros Megabiaw Tassew, Zhen Li, Zuoyong Li, He Zhang:
NRD-Net: Non-local Residual Dense Network for Brain MR Image Super-Resolution. - Wenbin Yang, Xin Chang, Xinyue Guo:
ESFCU-Net: A Lightweight Hybrid Architecture Incorporating Self-Attention and Edge Enhancement Mechanisms for Enhanced Polyp Image Segmentation. - Jie Liu, Weiming Zeng, Wei Zhang, Ru Zhang, Sizhe Luo:
MT-BAAN: Multi-View Topological Bilinear Aggregation Attention Network Model for Alzheimer's Disease Diagnosis. - Iyyakutty Dheivya, Gurunathan Saravana Kumar:
Automatic Measurement of Lower Limb Angles From Pre- and Post-Operative X-Ray Images Using a Variant SegNet With Compound Loss Function. - Bowei Chen, Umara Khalid, Enhui Chai, Li Chen:
Intuitionistic Fuzzy Position Embedding Transformer for Motion Artefact Correction in Chemical Exchange Saturation Transfer MRI Series. - Junan Zhu, Zhizhe Tang, Ping Ma, Zheng Liang, Chuanjian Wang:
DLKUNet: A Lightweight and Efficient Network With Depthwise Large Kernel for Medical Image Segmentation. - Xiaoming Yu, Jie Tian, Zhenhua Hu:
NIR-II Fluorescence Image Translation via Latent Space Disentanglement. - Kashif Fareed, Anas Khan, Musaed A. Alhussein, Khursheed Aurangzeb, Aamir Shahzad, Mazhar Islam:
CBAM Attention Gate-Based Lightweight Deep Neural Network Model for Improved Retinal Vessel Segmentation. - Zaifang Zhang, Shenjun Sheng, Shihui Zhu, Jian Jin:
Chronic Wound Assessment System Using an Improved UPerNet Model. - Wenju Zhou, Ouafa Talha, Xiaofei Han, Qiang Liu, Yuan Xu, Zhenbo Zhang, Naitong Yuan:
An AG-RetinaNet for Embryonic Blastomeres Detection and Counting. - Pooja Mehta, Rohan Vaghela, Nensi Pansuriya, Jigar Sarda, Nirav Bhatt, Akash Kumar Bhoi, Parvathaneni Naga Srinivasu:
Benchmarking YOLO Variants for Enhanced Blood Cell Detection. - Nadeem Sarwar, Shaha Al-Otaibi, Asma Irshad:
Optimizing Breast Cancer Detection: Integrating Few-Shot and Transfer Learning for Enhanced Accuracy and Efficiency. - Anass Garbaz, Yassine Oukdach, Said Charfi, Mohamed El Ansari, Lahcen Koutti, Mouna Salihoun, Samira Lafraxo:
MLFE-UNet: Multi-Level Feature Extraction Transformer-Based UNet for Gastrointestinal Disease Segmentation.
Volume 35, Number 2, March 2025
Research Article
- Khaled ELKarazle, Valliappan Raman, Caslon Chua, Patrick H. H. Then:
SCABNet: A Novel Polyp Segmentation Network With Spatial-Gradient Attention and Channel Prioritization. - Yusuf Alaca, Ömer Faruk Akmese:
Pancreatic Tumor Detection From CT Images Converted to Graphs Using Whale Optimization and Classification Algorithms With Transfer Learning. - Shanshan Li, Yuhan Zhang, Lingyan Zhang, Wei Chen:
Enhanced BoxInst for Weakly Supervised Liver Tumor Instance Segmentation in CT Images. - Haoyun Sun, Lijia Wang:
Classification of Hepatic Nodules Using an Improved WOA-SVM Radiomics Model. - Yuanjing Hu, Aibin Huang:
LFBTS: Enhanced Multimodality MRI Fusion for Brain Tumor Segmentation With Limited Computational Resources.
Editorial
- Mohamed L. Seghier:
Harnessing AI for Comprehensive Reporting of Medical AI Research.
Research Article
- Shuaiqi Liu, Chaolei Sun, Jinkai Li, Shuihua Wang, Ling Zhao:
DML-GNN: ASD Diagnosis Based on Dual-Atlas Multi-Feature Learning Graph Neural Network. - Xueping Tan, Dinghui Wu, Hao Wang, Zihao Zhao, Yuxi Ge, Shudong Hu:
MMCAF: A Survival Status Prediction Method Based on Cross-Attention Fusion of Multimodal Colorectal Cancer Data. - Adnan Hameed, Said Khalid Shah, Sajid Ullah Khan, Sultan Alanazi, Shabbab Ali Algamdi:
Dermatology 2.0: Deploying YOLOv11 for Accurate and Accessible Skin Disease Detection: A Web-Based Approach. - Bo Wu, Donghui Shi, José Lisandro Aguilar:
Brain Tumors Classification in MRIs Based on Personalized Federated Distillation Learning With Similarity-Preserving. - Zafer Cömert, Ferat Efil, Muammer Türkoglu:
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification. - Xiao-Yuan Wang, Qin Hong, Da-Wei Li, Tao Wu, Yue-Qiang Liu, Ruo-Can Qian:
Machine Learning Assisted Differential Diagnosis of Pulmonary Nodules Based on 3D Images Reconstructed From CT Scans. - Mojtaba Mansouri Nejad, Habib Rostami, Ahmad Keshavarz, Hojat Ghimatgar, Mohamad Saleh Rayani, Leila Gonbadi:
Leveraging Local and Global Features for Enhanced Segmentation of Brain Metastatic Tumors in Magnetic Resonance Imaging. - Ji Ma, Guojun Jian, Jinjin Chen:
Diffusion Model-Based MRI Super-Resolution Synthesis. - Guangli Li, Xinjiong Zhou, Yiyuan Ye, Jingqin Lv, Donghong Ji, Jianguo Wu, Ruiyang Zhang, Hongbin Zhang:
Lightweight Local-Global Fusion for Robust Multiclass Classification of Skin Lesions. - Amir Bouden, Ahmed Ghazi Blaiech, Asma Ben Abdallah, Mourad Said, Mohamed Hédi Bedoui:
Novel Model of Medical CT Image Segmentation Based on GANs With Residual Neural Networks. - Jie Min, Tongyuan Huang, Boxiong Huang, Chuanxin Hu, Zhixing Zhang:
KIDBA-Net: A Multi-Feature Fusion Brain Tumor Segmentation Network Utilizing Kernel Inception Depthwise Convolution and Bi-Cross Attention. - Anila Kunjumon, Chinnu Jacob, R. Resmi:
Three-Dimensional Network With Squeeze and Excitation for Accurate Multi-Region Brain Tumor Segmentation. - Jacinta Potsangbam, Salam Shuleenda Devi:
EMViT-BCC: Enhanced Mobile Vision Transformer for Breast Cancer Classification. - R. Deiva Nayagam, D. Selvathi:
GRASP-Net: Grouped Residual Convolution U-Net With Attention Mechanism and Atrous Spatial Pyramid Pooling for Prostate Zone Segmentation Using MR Images. - Shun Cheng, Fangqi Guo, Qihui Guo, Haobo Chen, Zhou Xu, Bo Zhang, Jiaqi Zhao, Qi Zhang:
MARS-Net: Multi-Scale Attention Residual Spatiotemporal Network for Robust Left Ventricular Ejection Fraction Prediction in Echocardiography Videos. - Dinesh Kumar, Dimple Sethi, Wagaye Tadele Kussa, Yeabsira Mengistu Dana, Hitesh Kag:
3D U-Net-Based Brain Tumor Semantic Segmentation Using a Modified Data Generator. - Eunwoo Lee, Taewoo Nam, Daniel Hernández, Eugene Ozhinsky, Kazim Narsinh, Leo Sugrue, Yeji Han, Kisoo Kim, Kyoung-Nam Kim:
Optimization of MR-Guided Focused Ultrasound System: Comparative Study of Water Bolus and Electrically Optimized Material Using Automated Machine Learning. - Xiangyu Deng, Yapeng Zheng:
HSCFNet: Lightweight Convolutional Neural Network for the Classification of Infectious and Non-Infectious Skin Diseases. - Muamer Kafadar, Zikrija Avdagic, Ingmar Besic, Samir Omanovic:
3D Microscopic Images Segmenter Modeling by Applying Two-Stage Optimization to an Ensemble of Segmentation Methods Using a Genetic Algorithm. - Wei Guo, Zhanxu Liu, Yu Ou:
CLA-UNet: Convolution and Focused Linear Attention Fusion for Tumor Cell Nucleus Segmentation. - Murat Ucan, Buket Kaya, Mehmet Kaya:
Generating Medical Reports With a Novel Deep Learning Architecture. - Farzan Niknejad Mazandarani, Paul S. Babyn, Javad Alirezaie:
A Time-Adaptive Diffusion-Based CT Image Denoising Method by Processing Directional and Non-Local Information. - HuiFang Wang, YaTong Liu, Jiongyao Ye, Dawei Yang, Yu Zhu:
TS-Net: Trans-Scale Network for Medical Image Segmentation. - Mohsin Butt, D. N. F. NurFatimah, Majid Ali Khan, Ghazanfar Latif, Abul Bashar:
MEDCnet: A Memory Efficient Approach for Processing High-Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. - Vidhi Bishnoi, Lavanya, Palak Handa, Nidhi Goel:
Dual-Path Multi-Scale CNN for Precise Classification of Non-Small Cell Lung Cancer. - Huiyu Huang, Shreyas Balaji, Bulent Aslan, Yan Wen, Magdy Selim, Ajith J. Thomas, Aristotelis Filippidis, Pascal Spincemaille, Yi Wang, Salil Soman:
Quantitative Susceptibility Mapping MRI With Computer Vision Metrics to Reduce Scan Time for Brain Hemorrhage Assessment. - Malik Abdul Manan, Jinchao Feng, Shahzad Ahmed, Abdul Raheem:
Multiscale Feature Fusion Booster Network for Segmentation of Colorectal Polyp. - Javed Rashid, Salah Mahmoud Boulaaras, Muhammad Shoaib Saleem, Muhammad Faheem, Muhammad Umair Shahzad:
A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs.
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last updated on 2025-04-04 23:27 CEST by the dblp team
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