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Refinado por: assunto: Machine Learning remover Image Classification remover
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Advancing breast ultrasound diagnostics through hybrid deep learning models
Advancing breast ultrasound diagnostics through hybrid deep learning models
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Advancing breast ultrasound diagnostics through hybrid deep learning models

Kiran, Ajmeera ; Ramesh, Janjhyam Venkata Naga ; Rahat, Irfan Sadiq ; Khan, Mohammad Aman Ullah ; Hossain, Anwar ; Uddin, Roise

Computers in biology and medicine, 2024-09, Vol.180, p.108962, Article 108962 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique
Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique
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Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique

Rehman, Amjad ; Mahmood, Tariq ; Alamri, Faten S. ; Saba, Tanzila ; Naseem, Shahid

Microscopy research and technique, 2024-08, Vol.87 (8), p.1862-1888 [Periódico revisado por pares]

Hoboken, USA: VJohn Wiley & Sons, Inc

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3
SA-ConvNeXt: A Hybrid Approach for Flower Image Classification Using Selective Attention Mechanism
SA-ConvNeXt: A Hybrid Approach for Flower Image Classification Using Selective Attention Mechanism
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SA-ConvNeXt: A Hybrid Approach for Flower Image Classification Using Selective Attention Mechanism

Mo, Henghui ; Wei, Linjing

Mathematics (Basel), 2024-07, Vol.12 (14), p.2151 [Periódico revisado por pares]

Basel: MDPI AG

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A comparison of methods for image classification of cultural heritage using transfer learning for feature extraction
A comparison of methods for image classification of cultural heritage using transfer learning for feature extraction
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A comparison of methods for image classification of cultural heritage using transfer learning for feature extraction

Janković Babić, Radmila

Neural computing & applications, 2024-07, Vol.36 (20), p.11699-11709 [Periódico revisado por pares]

London: Springer London

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5
Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification
Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification
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Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification

Keskin Bilgiç, Elif ; Zaim Gökbay, İnci ; Kayar, Yusuf

Applied sciences, 2024-07, Vol.14 (14), p.6207 [Periódico revisado por pares]

Basel: MDPI AG

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Assessment of artificial intelligence to detect gasoline in fire debris using HS‐SPME‐GC/MS and transfer learning
Assessment of artificial intelligence to detect gasoline in fire debris using HS‐SPME‐GC/MS and transfer learning
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Assessment of artificial intelligence to detect gasoline in fire debris using HS‐SPME‐GC/MS and transfer learning

Huang, Ting‐Yu ; Chung Yu, Jorn Chi

Journal of forensic sciences, 2024-07, Vol.69 (4), p.1222-1234 [Periódico revisado por pares]

United States: Wiley Subscription Services, Inc

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7
Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules
Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules
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Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules

Gulame, Mayuresh Bhagavat ; Dixit, Vaibhav V.

International journal for numerical methods in biomedical engineering, 2024-07, Vol.40 (7), p.e3824-n/a [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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8
Overstepping Existing Classifications: Deciphering Five Severity Tiers in Sugar Maple Tar Spot Disease Through Integrated CNN-GAN Models
Overstepping Existing Classifications: Deciphering Five Severity Tiers in Sugar Maple Tar Spot Disease Through Integrated CNN-GAN Models
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Overstepping Existing Classifications: Deciphering Five Severity Tiers in Sugar Maple Tar Spot Disease Through Integrated CNN-GAN Models

Yashu ; Kukreja, Vinay ; Kumar, Mukesh ; Manwal, Manika

2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), 2024, p.1-6

IEEE

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Optimized CNN Architectures Benchmarking in Hardware-Constrained Edge Devices in IoT Environments
Optimized CNN Architectures Benchmarking in Hardware-Constrained Edge Devices in IoT Environments
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Optimized CNN Architectures Benchmarking in Hardware-Constrained Edge Devices in IoT Environments

Rosero-Montalvo, Paul D. ; Tozun, Pinar ; Hernandez, Wilmar

IEEE internet of things journal, 2024-06, Vol.11 (11), p.20357-20366

Piscataway: IEEE

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10
Kidney Tumor Classification on CT images using Self-supervised Learning
Kidney Tumor Classification on CT images using Self-supervised Learning
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Kidney Tumor Classification on CT images using Self-supervised Learning

Özbay, Erdal ; Özbay, Feyza Altunbey ; Gharehchopogh, Farhad Soleimanian

Computers in biology and medicine, 2024-06, Vol.176, p.108554-108554, Article 108554 [Periódico revisado por pares]

United States: Elsevier Ltd

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