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Journal Articles

Detection of breast cancer using support vector machine with digital mammogram data over perceptron algorithm

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M. A. Aasiya Banu, K. Thinakaran
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3267, 020131 (2025)
https://doi.org/10.1063/5.0265688
Published: June 2025
View articletitled, Detection of breast cancer using support vector machine with digital mammogram data over perceptron algorithm
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Journal Articles

Novel mammography images approach for breast cancer diagnosis using ensemble feature extraction

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U. Supriya, M. Senthil Vadivu, S. Gowdhamkumar, P. Rajarajeswari, R. Umesh, D. Gunapriya
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3306, 040016 (2025)
https://doi.org/10.1063/5.0275833
Published: June 2025
View articletitled, Novel mammography images approach for breast cancer diagnosis using ensemble feature extraction
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Journal Articles

An efficient prediction of Mammogram problem in women using Alexnet compared over Supported Vector Machine with accuracy

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B. Siva Sainath Reddy, M. Ramamoorthy
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3252, 020044 (2025)
https://doi.org/10.1063/5.0259549
Published: March 2025
View articletitled, An efficient prediction of Mammogram problem in women using Alexnet compared over Supported Vector Machine with accuracy
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Journal Articles

Comparative analysis between the Alex net compared over random forest in predicting Mammogram problem in women with accuracy

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B. Siva Sainath Reddy, M. Ramamoorthy
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3252, 020043 (2025)
https://doi.org/10.1063/5.0259546
Published: March 2025
View articletitled, Comparative analysis between the Alex net compared over random forest in predicting Mammogram problem in women with accuracy
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Journal Articles

A comprehensive review of the advances and prospects of electrical impedance tomography in the breast cancer detection

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Nandana Suresh Kumar, Aneesh Samuel Perumprath, Juby Raju
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3280, 030002 (2025)
https://doi.org/10.1063/5.0248474
Published: February 2025
View articletitled, A comprehensive review of the advances and prospects of electrical impedance tomography in the breast cancer detection
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Journal Articles

Machine learning in image processing advances in detection of breast cancer

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Prashant Soni, Radhika Tandon, Shresth Mishra, Aviral Srivastava, Utkarsh Ghildyal
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3254, 020019 (2025)
https://doi.org/10.1063/5.0247737
Published: February 2025
View articletitled, Machine learning in image processing advances in detection of breast cancer
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Journal Articles

Towards accurate breast cancer diagnosis: An overview of multimodal model integration

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Bhagyashri R. Wankar, Rudra Kalyan Nayak
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3233, 020029 (2025)
https://doi.org/10.1063/5.0235307
Published: January 2025
View articletitled, Towards accurate breast cancer diagnosis: An overview of multimodal model integration
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Journal Articles

Design and analysis of forward problem of electrical impedance tomography for breast cancer screening

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G. Annapoorani, D. Vaishali
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3159, 020019 (2025)
https://doi.org/10.1063/5.0247032
Published: January 2025
View articletitled, Design and analysis of forward problem of electrical impedance tomography for breast cancer screening
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Journal Articles

Fractal texture analysis for automated breast cancer detection

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V. Vijaya Chamundeeswari, V. Gowri
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3159, 020032 (2025)
https://doi.org/10.1063/5.0247044
Published: January 2025
View articletitled, Fractal texture analysis for automated breast cancer detection
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Journal Articles

A review on data mining techniques for analysis and prediction of tumors in Mammogram images

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Shweta A. Gode, Rakhi D. Wajgi, Kartik Ingole
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3188, 040011 (2024)
https://doi.org/10.1063/5.0241160
Published: December 2024
View articletitled, A review on data mining techniques for analysis and prediction of tumors in Mammogram images
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Journal Articles

Re-parameterized Gompertz algorithm for the fuzzy ranks of deep CNN models in the identification of breast cancer using mammography images

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Shavkat Fazilov, Khabiba Abdieva, Ozod Yusupov, Erali Eshonqulov, Ziyodullo Malikov
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3244, 030083 (2024)
https://doi.org/10.1063/5.0241416
Published: November 2024
View articletitled, Re-parameterized Gompertz algorithm for the fuzzy ranks of deep CNN models in the identification of breast cancer using mammography images
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Journal Articles

A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

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Shavkat Fazilov, Khabiba Abdieva, Ozod Yusupov, Rabbim Yusupov, Asliddin Qodirov
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3244, 030082 (2024)
https://doi.org/10.1063/5.0241418
Published: November 2024
View articletitled, A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images
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Journal Articles

Comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesions using various classifiers for potential cancer diagnosis

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Chinni Samyuktha, D. Jenila Rani
Journal: AIP Conference Proceedings
AIP Conf. Proc. 2871, 050026 (2024)
https://doi.org/10.1063/5.0227817
Published: September 2024
View articletitled, Comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesions using various classifiers for potential cancer diagnosis
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Journal Articles

Linear attenuation coefficient and image quality of polyvinyl alcohol filament as equivalent phantom tissue in computed radiography mammography

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Aditya Prayugo Hariyanto, Nurhanifa Tri Budiarti, Endarko Endarko, Freddy Haryanto, Kwan Hoong Ng
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3165, 020001 (2024)
https://doi.org/10.1063/5.0215770
Published: June 2024
View articletitled, Linear attenuation coefficient and image quality of polyvinyl alcohol filament as equivalent phantom tissue in computed radiography mammography
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Journal Articles

Segmentation in mammographic images based on the U-NET model

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Shavkat. Fazilov, Khabiba Abdiyeva, Ozod Yusupov, Rabbim Yusupov
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3147, 040025 (2024)
https://doi.org/10.1063/5.0210408
Published: May 2024
View articletitled, Segmentation in mammographic images based on the U-NET model
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Journal Articles

Biomedical mammography images classification by patches based feature engineering using deep learning with ensemble classifier

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Saruchi Kukkar, Jaspreet Singh
Journal: AIP Conference Proceedings
AIP Conf. Proc. 3072, 020018 (2024)
https://doi.org/10.1063/5.0198740
Published: March 2024
View articletitled, Biomedical mammography images classification by patches based feature engineering using deep learning with ensemble classifier
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Journal Articles

Machine learning based breast cancer detection using logistic regression

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I. Taraniya, Bhaskar Reddy P.V., Yeddula Divyasri, Varshini Chaithra, Nalam Lakshmi Raviteja
Journal: AIP Conference Proceedings
AIP Conf. Proc. 2742, 020084 (2024)
https://doi.org/10.1063/5.0200498
Published: February 2024
View articletitled, Machine learning based breast cancer detection using logistic regression
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Journal Articles

Comparing the performance of machine learning algorithms for the prediction of breast cancer recurrence

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S. Nathiya, J. Sumitha
Journal: AIP Conference Proceedings
AIP Conf. Proc. 2901, 060002 (2023)
https://doi.org/10.1063/5.0178817
Published: December 2023
View articletitled, Comparing the performance of machine learning algorithms for the prediction of breast cancer recurrence
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Journal Articles

Breast cancer classification using optimized convolutional neural networks on enhanced segmented mammograms

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P. Shanmugavadivu, G. Kanimozhi, S. Dhamodharan, A. Nithya
Journal: AIP Conference Proceedings
AIP Conf. Proc. 2847, 050004 (2023)
https://doi.org/10.1063/5.0166173
Published: November 2023
View articletitled, Breast cancer classification using optimized convolutional neural networks on enhanced segmented mammograms
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Journal Articles

Novel comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesion using K-Nn classifier for potential cancer diagnosis

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Chinni Samyuktha, P. Vishnu Vardhan
Journal: AIP Conference Proceedings
AIP Conf. Proc. 2822, 020106 (2023)
https://doi.org/10.1063/5.0178965
Published: November 2023
View articletitled, Novel comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesion using K-Nn classifier for potential cancer diagnosis
Open the PDF for Novel comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesion using K-Nn classifier for potential cancer diagnosis in another window