Medical Image Segmentation with Learning Semantic and Global Contextual Representation by Mohammad D. Alahmadi

“…Automatic medical image segmentation is an essential step toward accurate diseases diagnosis and designing a follow-up treatment. …”
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Retinal OCTA Image Segmentation Based on Global Contrastive Learning by Ziping Ma, Dongxiu Feng, Jingyu Wang, Hu Ma

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Medical Image Segmentation using Modified Interactive Thresholding Technique by Asst. instructor Noor Muwafak Abed Al Hadi

“…Medical image segmentation is one of the most actively studied fields in the past few decades, as the development of modern imaging modalities such as magnetic resonance imaging (MRI) and computed tomography (CT), physicians and technicians nowadays have to process the increasing number and size of medical images. …”
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Dissimilarity Corrective Generative Adversarial Network for Brain Image Segmentation by Rukesh Prajapati, Goo-Rak Kwon

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VLSM-Net: A Fusion Architecture for CT Image Segmentation by Yachun Gao, Jia Guo, Chuanji Fu, Yan Wang, Shimin Cai

“…In order to overcome the shortcomings in segmentation from the V-Net model or the level set method (LSM), we propose in this paper a new image segmentation method, the VLSM-Net model, combining these two methods. …”
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The Algorithm of Watershed Color Image Segmentation Based on Morphological Gradient by Yanyan Wu, Qian Li

Subjects: “…color image segmentation…”
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Polarization image segmentation of radiofrequency ablated porcine myocardial tissue. by Iftikhar Ahmad, Adam Gribble, Iqbal Murtza, Masroor Ikram, Mihaela Pop, Alex Vitkin

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ResX: Feature Extraction Block for Medical Image Segmentation by Sumin Qi, Zhiqi Lee, Jianlei Liu, Mengjie Han, Yixuan Qin, Qiuxuan Du

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Magnetic Resonance Images Segmentation of Synovium Based on Dense-UNet++ by Zhen-yu WANG, Ying-shan WANG, Jin-ling MAO, Wei-wei MA, Qing LU, Jie SHI, Hong-zhi WANG

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Multimodal brain tumor image segmentation based on DenseNet. by Xiaoqin Wu, Xiaoli Yang, Zhenwei Li, Lipei Liu, Yuxin Xia

“…This paper proposes a network model based on the combination of U-net and DenseNet to solve the problems of class imbalance in multi-modal brain tumor image segmentation and the loss of effective information features caused by the integration of features in the traditional U-net network. …”
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CTBANet: Convolution transformers and bidirectional attention for medical image segmentation by Sha Luo, Li Pan, Yuanming Jian, Yunjiao Lu, Sisi Luo

Subjects: “…Medical image segmentation…”
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A Novel LSB Steganography Technique Using Image Segmentation by Yasir Yakup Demircan, Serhat Ozekes

“…The proposed method achieves resistance to this attack using an image segmentation model and extracting the most texture-complex areas of an image and hiding information in these specific areas as pseudo-randomized least significant bit replacements. …”
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Biomedical image segmentation algorithm based on dense atrous convolution by Hong'an Li, Man Liu, Jiangwen Fan, Qingfang Liu

Subjects: “…biomedical image segmentation…”
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Exploiting Global Structure Information to Improve Medical Image Segmentation by Jaemoon Hwang, Sangheum Hwang

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Retina image segmentation using the three-path Unet model by Ruihua Liu, Wei Pu, Haoyu Nan, Yangyang Zou

“…Abstract Unsupervised image segmentation is a technique that divides an image into distinct regions or objects without prior labeling. …”
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Cross-Parallel Transformer: Parallel ViT for Medical Image Segmentation by Dong Wang, Zixiang Wang, Ling Chen, Hongfeng Xiao, Bo Yang

Subjects: “…medical image segmentation…”
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Adaptive inter frame compression using image segmented technique by Ban Sabah Ismeel

Subjects: “…Video compression, Image segmented, motion estimation…”
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Cardiac image segmentation by random walks with dynamic shape constraint by Xulei Yang, Yi Su, Rubing Duan, Haijin Fan, Si Yong Yeo, Calvin Lim, Liang Zhong, Ru San Tan

Subjects: “…cardiac image segmentation…”
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Semi-Supervised Learning With Fact-Forcing for Medical Image Segmentation by Phuoc-Nguyen Bui, Duc-Tai Le, Junghyun Bum, Seongho Kim, Su Jeong Song, Hyunseung Choo

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Blood cell image segmentation and classification: a systematic review by Muhammad Shahzad, Farman Ali, Syed Hamad Shirazi, Assad Rasheed, Awais Ahmad, Babar Shah, Daehan Kwak

“…This survey provides a broad and in-depth review of the techniques being employed, from image segmentation to classification, feature selection, utilization of evaluation matrices, and dataset selection. …”
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