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Subject : lung cancer

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Academic Journal

Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images.

Authors : Yu, Chang-Ching^1,2,3 (AUTHOR); Ting, Chien-Yi² (AUTHOR) ; Yang, Ming-Hui^4,5 (AUTHOR)

Source: Journal of X-Ray Science & Technology. 2021, Vol. 29 Issue 4, p617-633. 17p.

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Conference

BT Görüntüleri Üzerinde Akciğer Nodüllerinin Bilgisayar Destekli Otomatik Bölütlenmesi.

Authors : Dandıl, Emre¹; Çakıroğlu, Murat²; Ekşi, Ziya³

Source: Conference Proceedings of the International Symposium on Innovative Technologies in Engineering & Science. 2014, p1836-1844. 9p.

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Academic Journal

Effective lung nodule detection using deep CNN with dual attention mechanisms.

Authors : UrRehman, Zia¹ (AUTHOR); Qiang, Yan^1,2 (AUTHOR); Wang, Long³ (AUTHOR)

Source: Scientific Reports. 2/16/2024, Vol. 14 Issue 1, p1-12. 12p.

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Academic Journal

A combined deep CNN with a chimp optimization approach for lung cancer diagnosis.

Authors : Jothi, J. Sathiya¹ (AUTHOR) ; Chinnadurai, M.² (AUTHOR)

Source: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 2, p4681-4696. 16p.

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Academic Journal

PULMONARY NODULE DETECTION USING LOCAL CONTRAST THRESHOLDING WITH CIRCULAR WINDOW (CWLCT).

Authors : Kanade, Dnyaneshwar¹ ; Helonde, Jagdish¹

Source: Suranaree Journal of Science & Technology. Jan/Feb2024, Vol. 31 Issue 1, p1-11. 11p.

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Academic Journal

Lung Cancer Screening with Low-Dose CT: What We Have Learned in Two Decades of ITALUNG and What Is Yet to Be Addressed.

Authors : Mascalchi, Mario^1,2 (AUTHOR) ; Picozzi, Giulia² (AUTHOR) ; Puliti, Donella² (AUTHOR)

Source: Diagnostics (2075-4418). Jul2023, Vol. 13 Issue 13, p2197. 21p.

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Academic Journal

Prospective Evaluation of Quantitative F-18-FDG-PET/CT for Pre-Operative Thoracic Lymph Node Staging in Patients with Lung Cancer as a Target for Computer-Aided Diagnosis.

Authors : Genseke, Philipp¹ (AUTHOR) ; Wielenberg, Christoph Ferdinand^1,2 (AUTHOR); Schreiber, Jens³ (AUTHOR)

Source: Diagnostics (2075-4418). Apr2023, Vol. 13 Issue 7, p1263. 10p.

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Academic Journal

A CAD System for Lung Cancer Detection Using Hybrid Deep Learning Techniques.

Authors : Alsheikhy, Ahmed A.¹ (AUTHOR) ; Said, Yahia¹ (AUTHOR); Shawly, Tawfeeq² (AUTHOR)

Source: Diagnostics (2075-4418). Mar2023, Vol. 13 Issue 6, p1174. 20p.

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Academic Journal

Optimization System Based on Convolutional Neural Network and Internet of Medical Things for Early Diagnosis of Lung Cancer.

Authors : Hussain Ali, Yossra¹ (AUTHOR); Sabu Chooralil, Varghese² (AUTHOR); Balasubramanian, Karthikeyan³ (AUTHOR)

Source: Bioengineering (Basel). Mar2023, Vol. 10 Issue 3, p320. 26p.

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Academic Journal

Modified convolutional neural network for lung cancer detection: Improved cat swarm-based optimal training.

Authors : Pawar, Vikul J.¹ (AUTHOR) ; Premchand, P.¹ (AUTHOR)

Source: Web Intelligence (2405-6456). 2023, Vol. 21 Issue 1, p37-59. 23p.

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نتائج البحث

فلترة النتائج

Comparison of irregular flux viewer system with BONENAVI version for identification of Tc-99m MDP whole body bone scan metastasis images.

BT Görüntüleri Üzerinde Akciğer Nodüllerinin Bilgisayar Destekli Otomatik Bölütlenmesi.

Effective lung nodule detection using deep CNN with dual attention mechanisms.

A combined deep CNN with a chimp optimization approach for lung cancer diagnosis.

PULMONARY NODULE DETECTION USING LOCAL CONTRAST THRESHOLDING WITH CIRCULAR WINDOW (CWLCT).

Lung Cancer Screening with Low-Dose CT: What We Have Learned in Two Decades of ITALUNG and What Is Yet to Be Addressed.

Prospective Evaluation of Quantitative F-18-FDG-PET/CT for Pre-Operative Thoracic Lymph Node Staging in Patients with Lung Cancer as a Target for Computer-Aided Diagnosis.

A CAD System for Lung Cancer Detection Using Hybrid Deep Learning Techniques.

Optimization System Based on Convolutional Neural Network and Internet of Medical Things for Early Diagnosis of Lung Cancer.

Modified convolutional neural network for lung cancer detection: Improved cat swarm-based optimal training.

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