Transformer-based Seed Segmentation and Germination Prediction

Authors: Panda, Prayas, Sahu, Bandita, Kuanar, Sanjay Kumar

Source: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC) Electronics and Sustainable Communication Systems (ICESC), 2025 6th International Conference on. :2147-2154 Sep, 2025

Relation: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC)

Evaluation of Improved Swin-UNetAlgorithm for Precise Automated Image Segmentation in the Renal Tumour Resection

Authors: K, Rajagopal, Kumari, V Sheeja, Rajendar, Sivaramakrishnan, Jenifa, G., Mahimai Doss, P. Lourdu, Deepa, A.

Source: 2025 2nd International Conference on Computing and Data Science (ICCDS) Computing and Data Science (ICCDS), 2025 2nd International Conference on. :1-6 Jul, 2025

Relation: 2025 2nd International Conference on Computing and Data Science (ICCDS)

LNTransformer: Lung Nodule Transformer for Sparse CT Segmentation

Authors: Ramezani, Hooman, Vedrines, Charlotte, Aleman, Dionne, Ltourneau, Daniel

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2025 IEEE/CVF Conference on. :4238-4245 Jun, 2025

Relation: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

ViT-Pupil: Vision Transformer-Based Segmentation of Pupil Images for Detection of Computer Vision Syndrome

Authors: Vayalil, Arya C, Anandan, Meena, Veluswamy, Pandiyarasan, Palanisamy, Rohini

Source: 2024 IEEE 8th International Conference on Information and Communication Technology (CICT) Information and Communication Technology (CICT), 2024 IEEE 8th International Conference on. :1-6 Dec, 2024

Relation: 2024 IEEE 8th International Conference on Information and Communication Technology (CICT)

SegFormer-Based Approach for Semantic Segmentation of Necrotic Tissues from Histopathology Images

Authors: Saleena, T.S, Ilyas, P. Muhamed, M Kutty, Sajna V

Source: 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2024 IEEE International Conference on. :383-387 Oct, 2024

Relation: 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

Textual Query-Driven Mask Transformer for Domain Generalized Segmentation

Authors: Pak, Byeonghyun^Aff13, Woo, Byeongju^Aff13, Kim, Sunghwan^Aff13, Kim, Dae-hwan^Aff13, Kim, Hoseong^Aff13

Contributors: Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Leonardis, Aleš, editor^Aff7, Ricci, Elisa, editor^Aff8, Roth, Stefan, editor^Aff9, Russakovsky, Olga, editor^Aff10, Sattler, Torsten, editor^Aff11, Varol, Gül, editor^Aff12

Source: Computer Vision – ECCV 2024 : 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVII. 15115:37-54

Automated multi-class classification of thyroid nodules in ultrasound imaging using transformer-based segmentation and hybrid feature learning

Authors: Fang, Mingshuang ^a, Ma, Qingfeng ^b, Xu, Binxiong ^{c, ⁎}

Source: In Journal of Radiation Research and Applied Sciences December 2025 18(4)

Single-frame multi-stage transformer-based segmentation network for droplet localization and volume prediction in digital microfluidics

Authors: Wang, Zelin ^a, Zhang, Dianhua ^b, Pan, Yuke ^b, Li, Fangdi ^a, Zhang, Tao ^{⁎, a}, Zhou, Jianguang ^{⁎, a}

Source: In Chemical Engineering Science 1 May 2025 309

Automated classification of oral cancer lesions: Vision transformers vs radiomics

Authors: Chilet-Martos, Eva ^a, Vila-Francés, Joan ^a, Bagan, José V. ^b, Vives-Gilabert, Yolanda ^{a, ⁎}

Source: In Computers in Biology and Medicine May 2025 189

TransCapsUNet: A transformer-capsule integrated U-Net for 3D volumetric medical image segmentation

Authors: Vatani, Amir ^a, Song, Jie ^b, Xiao, Liang ^{a, ⁎}

Source: In Neurocomputing November 2025

Diagnosis of Mesothelioma Using Image Segmentation and Class-Based Deep Feature Transformations

Authors: Siyami Aydın, Mehmet Ağar, Muharrem Çakmak, Mesut Toğaçar

Source: Diagnostics, Vol 15, Iss 18, p 2381 (2025)

Subject Terms: mesothelioma disease, mesothelioma detection, transformer-based segmentation, class-based feature, deep generative, discriminative score, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.mdpi.com/2075-4418/15/18/2381; https://doaj.org/toc/2075-4418

Access URL: https://doaj.org/article/307f38ee3d754225b9de3c177320abab

Detecting surface defects of heritage buildings based on deep learning

Authors: Fu Xiaoli, Angkawisittpan Niwat

Source: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 163-9 (2024)

Subject Terms: deep learning, flipping, historical places, images, sustainability, thermography, transformer-based segmentation, Science, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2191-026X

Access URL: https://doaj.org/article/0268a861afb545a0b2dc790a6ef80ecf

Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?

Authors: Sobirov, Ikboljon, Nazarov, Otabek, Alasmawi, Hussain, Yaqub, Mohammad

Source: Computer Vision Faculty Publications

Subject Terms: Computerized tomography, Convolutional neural networks, Deep learning, Medical imaging, Modal analysis, Positron emission tomography, Tumors, Automatic segmentations, Cancer segmentation, Causes of death, Convolutional neural network, CT, Head-and-neck cancer, Head-and-neck tumor, HECKTOR, Multi-modal data, Transformer-based segmentation, Diseases, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), Machine Learning (cs.LG), Artificial Intelligence and Robotics, Biomedical Engineering and Bioengineering, Computer Sciences, Medicine and Health Sciences

File Description: application/pdf

Relation: https://dclibrary.mbzuai.ac.ae/cvfp/123; https://dclibrary.mbzuai.ac.ae/context/cvfp/article/1122/viewcontent/Automatic_Segmentation_of_Head_and_Neck_Tumor____How_Powerful_Transformers_Are_ccby.pdf

Availability: https://dclibrary.mbzuai.ac.ae/cvfp/123
https://doi.org/10.48550/arXiv.2201.06251
https://dclibrary.mbzuai.ac.ae/context/cvfp/article/1122/viewcontent/Automatic_Segmentation_of_Head_and_Neck_Tumor____How_Powerful_Transformers_Are_ccby.pdf