نتائج البحث

Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model.

• Authors : Koyama M; Minamikoyasu Eye Clinic, 2-8-30 Minamikoyasu, Kimitsu-shi, 299-1162, Chiba, Japan. .; Ueno Y

Subjects: Convolutional Neural Networks* ; Glaucoma*/Glaucoma*/Glaucoma*/diagnostic imaging ; Glaucoma*/Glaucoma*/Glaucoma*/physiopathology

• Source: Scientific reports [Sci Rep] 2025 Apr 18; Vol. 15 (1), pp. 13395. Date of Electronic Publication: 2025 Apr 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

• Authors : Shenouda M; Department of Radiology, The University of Chicago, Chicago, IL, 60637, USA.; Gudmundsson E

Subjects: Convolutional Neural Networks* ; Mesothelioma*/Mesothelioma*/Mesothelioma*/diagnostic imaging ; Pleural Neoplasms*/Pleural Neoplasms*/Pleural Neoplasms*/diagnostic imaging

• Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr; Vol. 38 (2), pp. 967-978. Date of Electronic Publication: 2024 Sep 12.Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet

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Deep convolutional neural network for automatic segmentation and classification of jaw tumors in contrast-enhanced computed tomography images.

• Authors : Warin K; Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand. Electronic address: .; Limprasert W

Subjects: Convolutional Neural Networks* ; Jaw Neoplasms*/Jaw Neoplasms*/Jaw Neoplasms*/diagnostic imaging ; Jaw Neoplasms*/Jaw Neoplasms*/Jaw Neoplasms*/classification

• Source: International journal of oral and maxillofacial surgery [Int J Oral Maxillofac Surg] 2025 Apr; Vol. 54 (4), pp. 374-382. Date of Electronic Publication: 2024 Oct 15.Publisher: Churchill Livingstone Country of Publication: Denmark NLM ID: 8605826 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

• Authors : Dénes-Fazakas L; Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.; Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.

Subjects: Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/Magnetic Resonance Imaging*/methods ; Convolutional Neural Networks* ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods

• Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Feb 28; Vol. 25 (5). Date of Electronic Publication: 2025 Feb 28.Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220

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Skeleton-guided 3D convolutional neural network for tubular structure segmentation.

• Authors : Zhu R; Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, Japan. .; Oda M

Subjects: Convolutional Neural Networks* ; Deep Learning* ; Imaging, Three-Dimensional*/Imaging, Three-Dimensional*/Imaging, Three-Dimensional*/methods

• Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2025 Jan; Vol. 20 (1), pp. 77-87. Date of Electronic Publication: 2024 Sep 12.Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429

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DIM-UNet: Enhancing Medical Image Segmentation with Dual-Input Hybrid Attention and State Space Modeling.

• Authors : Yunyun Chai¹ ; Yujun Zhang²

• Source: Engineering Letters. Jun2025, Vol. 33 Issue 6, p2186-2194. 9p.

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基于深度学习的视网膜血管分割研究进展.

• Authors : 张文豪¹; 瞿绍军¹ ; 颜美丽¹

• Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. May2025, Vol. 42 Issue 5, p1299-1311. 13p.

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HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation.

• Authors : Thiruvengadam Madhavi A; Department of ECE, Easwari Engineering College, Chennai, India.; Rahimunnisa KB

Subjects: Plant Diseases*/Plant Diseases*/Plant Diseases*/microbiology ; Plant Diseases*/Plant Diseases*/Plant Diseases*/prevention & control ; Deep Learning*

• Source: Network (Bristol, England) [Network] 2025 Feb; Vol. 36 (1), pp. 38-78. Date of Electronic Publication: 2024 Nov 17.Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

• Authors : Sarafraz I; Department of Electrical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.; Agahi H

Subjects: Brain*/Brain*/Brain*/diagnostic imaging ; Convolutional Neural Networks* ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods

• Source: PloS one [PLoS One] 2025 Jan 17; Vol. 20 (1), pp. e0315538. Date of Electronic Publication: 2025 Jan 17 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification.

• Authors : Mustafa S; Faculty of Computer Science & Information Technology, The Superior University, Lahore, Pakistan.; Intelligent Data Visual Computing Research (IDVCR), Lahore, Pakistan.

Subjects: Convolutional Neural Networks* ; Deep Learning* ; Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/Image Processing, Computer-Assisted*/methods

• Source: PloS one [PLoS One] 2025 Jan 16; Vol. 20 (1), pp. e0315120. Date of Electronic Publication: 2025 Jan 16 (Print Publication: 2025).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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