SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method by Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa

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AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols by Umesh Kumar Lilhore, R. Sunder, Sarita Simaiya, Majed Alsafyani, M. D. Monish Khan, Roobaea Alroobaea, Hamed Alsufyani, Abdullah M. Baqasah

Subjects: “…Brain tumor segmentation…”
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‘Lamina External Graft Overlay’: The Use of Segmented Xenogenic Bone Sheets in the Reconstruction of 3D Bone Defects by Roberto Rossi, Fabrizio Bambini, Claudia Dellavia, Dolaji Henin, Lucia Memè

“…In this article we will suggest a new application using segmented xenogenic bone sheets instead of autogenous bone to correct severe ridge deformity. …”
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Adenocarcinoma originating from long-segment Barrett's esophagus over 15 cm: a series of 3 cases by Naoki Kuwayama, Isamu Hoshino, Hisashi Gunji, Toru Tonooka, Hiroaki Soda, Ryotaro Eto, Nobuhiro Takiguchi, Yoshihiro Nabeya

“…The postoperative pathological diagnosis was of poorly differentiated adenocarcinoma with lymph node metastasis (pT3 pN3 pM0 pStage III based on the Union for International Cancer Control TNM Classification 8th edition). …”
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Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net by Mingkang Sun, Xiang Li, Weiye Sun

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SCRM-Net: Self-Supervised Deep Clustering Feature Representation for Urban 3D Mesh Semantic Segmentation by Jiahui Wang, Wei Leng, Xinjie Hao, Rongting Zhang, Guangyun Zhang

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CNN-Based Multi-Object Detection and Segmentation in 3D LiDAR Data for Dynamic Industrial Environments by Danilo Giacomin Schneider , Marcelo Ricardo Stemmer

“…This paper proposes a novel approach utilizing Convolutional Neural Networks (CNNs) for multi-object detection in 3D space and 2D segmentation using bird’s eye view (BEV) maps derived from 3D Light Detection and Ranging (LiDAR) data. …”
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The Lightweight Fracture Segmentation Algorithm for Logging Images Based on Fully 3D Attention Mechanism and Deformable Convolution by Qishun Yang, Liyan Zhang, Zihan Xi, Yu Qian, Ang Li

“…However, existing image segmentation algorithms still encounter issues related to accuracy, speed, and robustness, as well as a tendency to misdetect or overlook small fractures when applied to logging image fracture segmentation tasks. …”
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Federated Knowledge Distillation With 3D Transformer Adaptation for Weakly Labeled Multi-Organ Medical Image Segmentation by Tareq Mahmod AlZubi, Hamza Mukhtar

“…These results validate the efficacy, scalability, and computational efficiency of Fed3D-KDNet, positioning it as a robust solution for multi-organ medical image segmentation in federated environments.…”
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A lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+ by Zhiyuan Yu, Chunquan Dai, Xiaoming Zeng, Yunlong Lv, Haisheng Li

“…Therefore, this paper proposed a lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+. …”
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DSS-MobileNetV3: An Efficient Dynamic-State-Space- Enhanced Network for Concrete Crack Segmentation by Haibo Li, Yong Cheng, Qian Zhang, Lingkun Chen

Subjects: “…crack segmentation…”
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HALF: Histogram of Angles in Linked Features for 3D Point Cloud Data Segmentation of Plants for Robust Sensing by Hidenori Takauji, Naofumi Wada, Shun’ichi Kaneko, Takanari Tanabata

“…This paper presents a novel method, Histogram of Angles in Linked Features (HALF), designed for the segmentation of 3D point cloud data of plants for robust sensing. …”
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Highlighting the Advanced Capabilities and the Computational Efficiency of DeepLabV3+ in Medical Image Segmentation: An Ablation Study by Ioannis Prokopiou, Panagiota Spyridonos

Subjects: “…semantic segmentation…”
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Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization by Italo Francyles Santos da Silva, Alan de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Deane Roehl

Subjects: “…3D pore segmentation…”
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Eff-SAM: SAM-Based Efficient Method for Brain Tumor Segmentation in Multimodal 3D MRI Scans by Nisar Ahmad, Yao-Tien Chen

“…To address these challenges, we propose Eff-SAM, a 3D brain tumor segmentation framework that adapts SAM for medical applications through parameter-efficient fine-tuning (PEFT) technique. …”
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3D densely connected CNN with multi-scale receptive fields and hybrid loss for brain tumor segmentation by Fatemehzahra Adib, Maryam Amirmazlaghani, Mohammad Rahmati

Subjects: “…Brain tumor segmentation…”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

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Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI by Reeda Saeed, Shahab U. Ansari, Muhammad Hanif, Kamran Javed, Usman Haider, Iffat Maab, Saeed Mian Qaisar, Pawel Plawiak

“…To capture regions of interest of various shapes and sizes, we extracted multi-scale features using multi-resolution 3D input images for accurate MS lesion segmentation. …”
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Phenotypic manifestation of homozygous partial deletion of the chromosome 1 segment spanning <i>CFHR3</i> region by I. A. Tuzankina, M. A. Bolkov, N. S. Zhuravleva, Yu. O. Vaseneva, Kh. Shinvari, O. V. Schipacheva

“…This article presents two clinical cases of patients with a homozygous deletion of segment of chromosome 1, which covers regions of genes associated with complement factor H, in particular CFHR3. …”
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Cross-modal unsupervised domain adaptation for 3D semantic segmentation via multi-scale fusion-then-distillation by Maomao Sun, Ting Rui, Jianqing Liu, Dong Wang, Chengsong Yang, Nan Zheng

Subjects: “…3D semantic segmentation…”
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