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ORCID7th PRCV 2024: Urumqi, China - Part XIV
- Zhouchen Lin, Ming-Ming Cheng, Ran He, Kurban Ubul, Wushouer Silamu, Hongbin Zha, Jie Zhou, Cheng-Lin Liu:
Pattern Recognition and Computer Vision - 7th Chinese Conference, PRCV 2024, Urumqi, China, October 18-20, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15044, Springer 2025, ISBN 978-981-97-8495-0
Medical lmage Processing and Analysis I
- Xinxin Shan, Yao Li, Fang Chen, Dongchu Wang, Yifan Deng:
A Fine-Grained Recurrent Network for Image Segmentation via Vector Field Guided Refinement. 3-16 - Hua Wang, Linwei Qiu
, Yiming Li, Jingfei Hu, Jicong Zhang:
Semi-supervised Medical Image Segmentation with Strong/Weak Task-Aware Consistency. 17-31 - Xiangyang Zhu, Kede Ma, Wufeng Xue:
Steerable Pyramid Transform Enables Robust Left Ventricle Quantification. 32-45 - Lili Huang, Dexin Ma, Xiaowei Zhao, Chenglong Li, Haifeng Zhao, Jin Tang, Chuanfu Li:
Semantics Guided Disentangled GAN for Chest X-Ray Image Rib Segmentation. 46-60 - Xuhang Chen, Shenghong Luo, Chi-Man Pun, Shuqiang Wang:
MedPrompt: Cross-modal Prompting for Multi-task Medical Image Translation. 61-75 - Wangang Cheng, Guanghua He, Hancan Zhu:
Enhancing Hippocampus Segmentation: SwinUNETR Model Optimization with CPS. 76-89 - Zhiyu Zheng, Liang Lv, Bo Ni:
Uncertainty-Inspired Credible Pseudo-Labeling in Semi-Supervised Medical Image Segmentation. 90-104 - Youqiang Xiong, Di Yuan, Lu Li, Xiu Shu:
MFPNet: Mixed Feature Perception Network for Automated Skin Lesion Segmentation. 105-117 - Jintao Zhai, Feng Tian, Fangfang Ju, Xiao Zou, Shengyou Qian:
LD-BSAM: Combined Latent Diffusion with Bounding SAM for HIFU Target Region Segmentation. 118-132 - Shijie Li, Yu Gong, Qingyuan Xiang, Zheng Li:
Hierarchical Decoder with Parallel Transformer and CNN for Medical Image Segmentation. 133-147 - Deqian Yang, Haochen Zhao, Gaojie Jin, Hui Meng, Lijun Zhang:
Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. 148-162 - Junfan Chen, Jun Yang, Anfei Fan, Jinyin Jia, Chiyu Zhang, Wei Li:
APAN: Anti-curriculum Pseudo-Labelling and Adversarial Noises Training for Semi-supervised Medical Image Classification. 163-177 - Lingzhi Tang, Haibo Shao, Jinzhu Yang, Jiachen Xu, Jiao Li, Yong Feng, Jiayuan Liu, Song Sun, Qisen Wang:
Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma. 178-193 - Yucheng Song, Jincan Wang, Yifan Ge, Zhifang Liao, Peng Lan, Jia Guo, Lifeng Li:
Growing with the Help of Multiple Teachers: Lightweight and Noise-Resistant Student Model for Medical Image Classification. 194-208 - Palidan Tursun, Siyu Li, Min Li, Xiaoyi Lv, Cheng Chen, Chen Chen, Yunling Wang:
DRA-CN: A Novel Dual-Resolution Attention Capsule Network for Histopathology Image Classification. 209-222 - Qianyu Wu, Yunbo Gu:
A Mask Guided Network for Self-supervised Low-Dose CT Imaging. 223-233 - Gege Shan, Xiaoliang Ma, Xiaojie Bai, Hongzhou Zhu, Ting Wang, Shengji Zhu, Lei Wang:
Dental Diagnosis from X-Ray Panoramic Radiography Images: A Dataset and A Hybrid Framework. 234-248 - Lanhu Wu, Miao Zhang, Yongri Piao, Zhiwei Li, Huchuan Lu:
Edge-Guided Bidirectional-Attention Residual Network for Polyp Segmentation. 249-263 - Wei Wang, Huiying Sun, Xin Wang:
From Coarse to Fine: A Novel Colon Polyp Segmentation Method Like Human Observation. 264-278 - Yaoqin Ye, Junjie Zhang, Hongwei Shi:
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-label Medical Image Classification. 279-298 - Huanping Zhang, Yi Zhang, Guoxia Xu, Jiangpeng Zheng, Meng Zhao:
Multi-Perspective Text-Guided Multimodal Fusion Network for Brain Tumor Segmentation. 299-313 - Yufan Liu:
Continual Learning for Fundus Image Segmentation. 314-328 - Wenjun Li, Jiaojiao Xiang, Huan Peng, Wanjun Ma, Weijun Liang:
Embedded Deep Learning Based CT Images for Rifampicin Resistant Tuberculosis Diagnosis. 329-342 - Yizhe Zhang, Tao Zhou, Ye Wu, Pengfei Gu, Shuo Wang:
Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation. 343-357 - Weidong Guo, Hantao Zhang, Shouhong Wan, Bingbing Zou, Wanqin Wang, Chenyang Qiu, Jun Li, Peiquan Jin:
Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation. 358-370 - Jiarong Chen, Xuyang Zhang, Rongwen Li, Peng Zhou:
Swin-HAUnet: A Swin-Hierarchical Attention Unet For Enhanced Medical Image Segmentation. 371-385 - Chenhao Xu, Yudian Zhang, Kaiye Xu, Haijiang Zhu:
ODC-SA Net: Orthogonal Direction Enhancement and Scale Aware Network for Polyp Segmentation. 386-400 - Tianhao Wang, Xinli Xu, Cheng Zheng, Haixia Long, Haigen Hu, Qiu Guan, Jianmin Yang:
Two-Stage Multi-scale Feature Fusion for Small Medical Object Segmentation. 401-415 - Tianxu Zhang, Hui Huang, Yan Ma, Bingcang Huang, Weiping Lu, Ao Xu:
A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation. 416-430 - Lingbing Xu, Zhiyuan Wang, Weitao Song, Yi Ji, Chunping Liu:
SPARK: Cross-Guided Knowledge Distillation with Spatial Position Augmentation for Medical Image Segmentation. 431-445 - Baichen Liu, Jiaxin Cai, Shunzhi Zhu:
VATBoost-Net: Integrating Enhanced Feature Perturbation and Detail Enhancement for Medical Image Segmentation. 446-460 - Jie Long, Yumei Tan, Shuxiang Song, Haiying Xia:
DTIL-Net: Dual-Task Interactive Learning Network for Automated Grading of Diabetic Retinopathy and Macular Edema. 461-475 - Dezhang Ye, Qiu Guan, Zehan Zhang, Jianmin Yang, Haigen Hu, Yang Chen, Feng Chen:
DeformSegNet: Segmentation Network Fused with Deformation Field for Pancreatic CT Scans. 476-489 - Jingyu Xie:
InsSegLN: A Novel 3D Instance Segmentation Method for Mediastinal Lymph Node. 490-503 - Zhengyu Chen, Xiaoning Song, Yang Hua, Wenjie Zhang:
RRANet: A Reverse Region-Aware Network with Edge Difference for Accurate Breast Tumor Segmentation in Ultrasound Images. 504-517 - Liwen Wang, Xiaoyan Zhang, Guannan He, Ying Tan, Shengli Li, Bin Pu, Zhe Jin, Wen Sha, Xingbo Dong:
Learning Frequency and Structure in UDA for Medical Object Detection. 518-532 - Aolun Li, Jinmiao Song, Long Yu, Shuang Liang, Shengwei Tian, Xin Fan, Zhezhe Zhu, Xiangzuo Huo:
Skin Lesion Segmentation Method Based on Global Pixel Weighted Focal Loss. 533-544 - Ping Zhou, Feng Chen, Bingwen Hu, Zhen Tang, Heng Liu, Meiyu Du:
Competing Dual-Network with Pseudo-Supervision Rectification for Semi-Supervised Medical Image Segmentation. 545-559 - Lingjie Lin, Kunfeng Lai, Yushun Huang, Li Li, Jiawen Lin:
Scribbled-Supervised Meibomian Gland Segmentation via Perturbation and Conflict in Dual-Branch Network. 560-570
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