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فلترة بواسطة : عنوان

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Academic Journal

A simple method for obtaining artificial 3D forms of 2D mammograms in diagnosis of breast cancer.

Authors : Toz, Güliz¹ (AUTHOR)

Source: Imaging Science Journal. Dec2024, Vol. 72 Issue 8, p941-956. 16p.

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Academic Journal

Early Breast Cancer Detection Based on Deep Learning: An Ensemble Approach Applied to Mammograms.

Authors : Khourdifi, Youness¹ (AUTHOR) ; El Alami, Alae² (AUTHOR); Zaydi, Mounia³ (AUTHOR)

Source: BioMedInformatics. Dec2024, Vol. 4 Issue 4, p2338-2373. 36p.

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Academic Journal

Ethnic and racialized disparities in the use of screening services for pap smears and mammograms in Canada.

Authors : Salami, Bukola O.¹ (AUTHOR) ; Kalenga, Cindy Z.² (AUTHOR); Olukotun, Mary³ (AUTHOR)

Source: Cancer Medicine. Oct2024, Vol. 13 Issue 20, p1-11. 11p.

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Academic Journal

An Artificial Intelligence-Based Tool for Enhancing Pectoral Muscle Segmentation in Mammograms: Addressing Class Imbalance and Validation Challenges in Automated Breast Cancer Diagnosis.

Authors : Cortes-Rojas, Fausto David¹ (AUTHOR) ; Hernández-Rodríguez, Yazmín Mariela² (AUTHOR) ; Bayareh-Mancilla, Rafael² (AUTHOR)

Source: Diagnostics (2075-4418). Oct2024, Vol. 14 Issue 19, p2144. 21p.

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Academic Journal

Deep Learning for Segmentation and Classification in Mammograms for Breast Cancer Detection: A Systematic Literature Review.

Authors : Sutjiadi, Raymond^1,2; Sendari, Siti¹ ; Herwanto, Heru Wahyu¹

Source: Advanced Ultrasound in Diagnosis & Therapy (AUDT). Sep2024, Vol. 8 Issue 3, p94-105. 12p.

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Academic Journal

Optimizing hyperparameters in multiview convolutional neural network for improved breast cancer detection in mammograms.

Authors : Anggraini, Sisilia¹ ; Sardjono, Tri Arief¹ ; Hikmah, Nada Fitrieyatul¹

Source: Telkomnika. Aug2024, Vol. 22 Issue 4, p921-930. 10p.

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Academic Journal

INCIDENTAL BREAST CANCERS IDENTIFIED ON SCREENING MAMMOGRAMS.

Authors : Soldera, Kausar Abbas¹; Tunio, Abdul Raheem²; Ahmed, Naveed³

Source: Pakistan Journal of Radiology. Jul-Sep2024, Vol. 34 Issue 3, p135-140. 6p.

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Academic Journal

Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms.

Authors : Kai, Chiharu^1,2 (AUTHOR) ; Kondo, Satoshi³ (AUTHOR); Otsuka, Tsunehiro⁴ (AUTHOR)

Source: Diagnostics (2075-4418). Jun2024, Vol. 14 Issue 11, p1131. 12p.

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Academic Journal

Early Detection of Breast Cancer using Deep Learning in Mammograms.

Authors : Gudur, Rashmi¹ ; Patil, Nitin²; Thorat, S. T.³

Source: Journal of Pioneering Medical Sciences. Apr2024, Vol. 13 Issue 2, p18-27. 10p.

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Academic Journal

Automatic Classification of Cancerous Masses in Digital Mammograms Using Curvelet Analysis and Hybrid Genetic Algorithm-Artificial Neural Network Model.

Authors : Jafroudi, Fereshteh Torabi¹; Kiani-Sarkaleh, Azadeh¹ ; Nirouei, Mahyar²

Source: Iranian Journal of Radiology. Apr2024, Vol. 21 Issue 2, p1-8. 8p.

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نتائج البحث

فلترة النتائج

A simple method for obtaining artificial 3D forms of 2D mammograms in diagnosis of breast cancer.

Early Breast Cancer Detection Based on Deep Learning: An Ensemble Approach Applied to Mammograms.

Ethnic and racialized disparities in the use of screening services for pap smears and mammograms in Canada.

An Artificial Intelligence-Based Tool for Enhancing Pectoral Muscle Segmentation in Mammograms: Addressing Class Imbalance and Validation Challenges in Automated Breast Cancer Diagnosis.

Deep Learning for Segmentation and Classification in Mammograms for Breast Cancer Detection: A Systematic Literature Review.

Optimizing hyperparameters in multiview convolutional neural network for improved breast cancer detection in mammograms.

INCIDENTAL BREAST CANCERS IDENTIFIED ON SCREENING MAMMOGRAMS.

Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms.

Early Detection of Breast Cancer using Deep Learning in Mammograms.

Automatic Classification of Cancerous Masses in Digital Mammograms Using Curvelet Analysis and Hybrid Genetic Algorithm-Artificial Neural Network Model.

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