Multi-Task Learning for Small Brain Tumor Segmentation from MRI by Duc-Ky Ngo, Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee

Subjects: “…brain tumor segmentation…”
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Tumor Segmentation in Breast Ultrasound Image by Means of Res Path Combined with Dense Connection Neural Network by Kailuo Yu, Sheng Chen, Yanghuai Chen

Subjects: “…tumor segmentation…”
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Brain tumor segmentation with advanced nnU-Net: Pediatrics and adults tumors by Mona Kharaji, Hossein Abbasi, Yasin Orouskhani, Mostafa Shomalzadeh, Foad Kazemi, Maysam Orouskhani

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Glioma subtype prediction based on radiomics of tumor and peritumoral edema under automatic segmentation by Xiangyu Sun, Sirui Li, Chao Ma, Wei Fang, Xin Jing, Chao Yang, Huan Li, Xu Zhang, Chuanbin Ge, Bo Liu, Zhiqiang Li

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IM- LTS: An Integrated Model for Lung Tumor Segmentation using Neural Networks and IoMT by Jayapradha J, Su-Cheng Haw, Naveen Palanichamy, Kok-Why Ng, Senthil Kumar Thillaigovindhan

Subjects: “…Integrated Model (IM- LTS) for Lung Tumor Segmentation]…”
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Towards automatical tumor segmentation in radiomics: a comparative analysis of various methods and radiologists for both region extraction and downstream diagnosis by Ying Yu, Gang-Feng Li, Wei-Xiong Tan, Xiao-Yan Qu, Tao Zhang, Xing-Yi Hou, Yuan-Bo Zhu, Zhi-Ying Ma, Lu Yang, Ya Gao, Mei Yu, Cui Yue, Zhen Zhou, Yang Yang, Lin-Feng Yan, Guang-Bin Cui

Subjects: “…Tumor segmentation…”
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NSBR-Net: A Novel Noise Suppression and Boundary Refinement Network for Breast Tumor Segmentation in Ultrasound Images by Yue Sun, Zhaohong Huang, Guorong Cai, Jinhe Su, Zheng Gong

Subjects: “…breast tumor segmentation…”
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U-Net Analysis Architecture For MRI Brain Tumor Segmentation by Nur Nafi'iyah

Subjects: “…brain tumor segmentation, mri, u-net, number of neurons…”
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MAU-Net: Mixed attention U-Net for MRI brain tumor segmentation by Yuqing Zhang, Yutong Han, Jianxin Zhang

Subjects: “…brain tumor segmentation…”
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3D Liver and Tumor Segmentation with CNNs Based on Region and Distance Metrics by Yi Zhang, Xiwen Pan, Congsheng Li, Tongning Wu

Subjects: “…liver and tumor segmentation…”
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LETCP: A Label-Efficient Transformer-Based Contrastive Pre-Training Method for Brain Tumor Segmentation by Shoucun Chen, Jing Zhang, Tianchi Zhang

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Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives by Shahid Karim, Geng Tong, Yiting Yu, Asif Ali Laghari, Abdullah Ayub Khan, Muhammad Ibrar, Faisal Mehmood

Subjects: “…Brain tumor segmentation…”
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Brain Pathology Classification of MR Images Using Machine Learning Techniques by Nehad T. A. Ramaha, Ruaa M. Mahmood, Alaa Ali Hameed, Norma Latif Fitriyani, Ganjar Alfian, Muhammad Syafrudin

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SARFNet: Selective Layer and Axial Receptive Field Network for Multimodal Brain Tumor Segmentation by Bin Guo, Ning Cao, Peng Yang, Ruihao Zhang

Subjects: “…brain tumor segmentation…”
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Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology by Deepa Darshini Gunashekar, Lars Bielak, Leonard Hägele, Benedict Oerther, Matthias Benndorf, Anca-L. Grosu, Thomas Brox, Constantinos Zamboglou, Michael Bock

Subjects: “…Automatic prostate tumor segmentation…”
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MWG-UNet++: Hybrid Transformer U-Net Model for Brain Tumor Segmentation in MRI Scans by Yu Lyu, Xiaolin Tian

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DenseTrans: Multimodal Brain Tumor Segmentation Using Swin Transformer by Li ZongRen, Wushouer Silamu, Wang Yuzhen, Wei Zhe

Subjects: “…Brain tumor segmentation…”
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Brain Tumor Classification and Detection Based DL Models: A Systematic Review by Karrar Neamah, Farhan Mohamed, Myasar Mundher Adnan, Tanzila Saba, Saeed Ali Bahaj, Karrar Abdulameer Kadhim, Amjad Rehman Khan

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DualTrans: A Novel Glioma Segmentation Framework Based on a Dual-Path Encoder Network and Multi-View Dynamic Fusion Model by Zongren Li, Wushouer Silamu, Yajing Ma, Yanbing Li

Subjects: “…brain-tumor segmentation…”
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Automated Classification of Lung Cancer Subtypes Using Deep Learning and CT-Scan Based Radiomic Analysis by Bryce Dunn, Mariaelena Pierobon, Qi Wei

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