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Academic Journal

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review.

Authors : Nazari, Sana¹ (AUTHOR) ; Garcia, Rafael¹ (AUTHOR)

Source: Life (2075-1729). Nov2023, Vol. 13 Issue 11, p2123. 33p.

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Academic Journal

Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem.

Authors : Di Biasi, Luigi¹ (AUTHOR) ; De Marco, Fabiola¹ (AUTHOR); Auriemma Citarella, Alessia¹ (AUTHOR)

Source: BMC Bioinformatics. 10/11/2023, Vol. 24 Issue 1, p1-19. 19p.

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Academic Journal

Public Perceptions, Factors, and Incentives Influencing Patient Willingness to Share Clinical Images for Artificial Intelligence-Based Healthcare Tools.

Authors : Ly, Sophia^1,2 (AUTHOR); Reyes-Hadsall, Sophia^2,3 (AUTHOR); Drake, Lara^2,4 (AUTHOR)

Source: Dermatology & Therapy. Nov2023, Vol. 13 Issue 11, p2895-2902. 8p.

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Academic Journal

A systematic review investigating at what proportion clinical images are shared in prospective randomized controlled trials involving patients with psoriasis and biological agents.

Authors : Polesie, Sam^1,2 (AUTHOR) ; Alinaghi, Farzad³ (AUTHOR); Egeberg, Alexander⁴ (AUTHOR)

Source: Journal of Dermatological Treatment. 2023, Vol. 34 Issue 1, p1-12. 12p.

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Academic Journal

Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images.

Authors : Somfai, Ellák^1,2 (AUTHOR) ; Baffy, Benjámin¹ (AUTHOR); Fenech, Kristian¹ (AUTHOR)

Source: International Journal of Imaging Systems & Technology. Mar2023, Vol. 33 Issue 2, p556-571. 16p.

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Academic Journal

Identifying Lymph Nodes and Their Statuses from Pretreatment Computer Tomography Images of Patients with Head and Neck Cancer Using a Clinical-Data-Driven Deep Learning Algorithm.

Authors : Huang, Sheng-Yao^1,2 (AUTHOR) ; Hsu, Wen-Lin^2,3,4 (AUTHOR); Liu, Dai-Wei^1,2,3,4 (AUTHOR)

Source: Cancers. Dec2023, Vol. 15 Issue 24, p5890. 11p.

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Academic Journal

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.

Authors : Juan, Chao-Kuei^1,2 (AUTHOR); Su, Yu-Hao³ (AUTHOR); Wu, Chen-Yi^2,4 (AUTHOR)

Source: Scientific Reports. 11/20/2023, Vol. 13 Issue 1, p1-9. 9p.

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Academic Journal

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.

Authors : Juan, Chao-Kuei^1,2 (AUTHOR); Su, Yu-Hao³ (AUTHOR); Wu, Chen-Yi^2,4 (AUTHOR)

Source: Scientific Reports. 10/10/2023, Vol. 13 Issue 1, p1-9. 9p.

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Academic Journal

A worthwhile tool in evaluating worrisome lesions.

Authors : Owji, Shayan¹; Aguwa, Chibuzo²; Han, Joseph¹

Source: Journal of Family Practice. Sep2023, Vol. 72 Issue 7, pE1-E22. 22p.

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Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method.

Authors : Wawrzyk-Bochenek, Iga¹ (AUTHOR) ; Rahnama, Mansur² (AUTHOR) ; Wilczyński, Sławomir¹ (AUTHOR)

Source: Journal of Clinical Medicine. Aug2023, Vol. 12 Issue 16, p5249. 12p.

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فلترة النتائج

Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review.

Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem.

Public Perceptions, Factors, and Incentives Influencing Patient Willingness to Share Clinical Images for Artificial Intelligence-Based Healthcare Tools.

A systematic review investigating at what proportion clinical images are shared in prospective randomized controlled trials involving patients with psoriasis and biological agents.

Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images.

Identifying Lymph Nodes and Their Statuses from Pretreatment Computer Tomography Images of Patients with Head and Neck Cancer Using a Clinical-Data-Driven Deep Learning Algorithm.

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.

Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation.

A worthwhile tool in evaluating worrisome lesions.

Quantitative Assessment of Hyperpigmentation Changes in Human Skin after Microneedle Mesotherapy Using the Gray-Level Co-Occurrence Matrix (GLCM) Method.

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