云南高校图书馆联盟文献共享服务平台- MAMMOGRAMS

MAMMOGRAMS: 作品数：23被引量：22H指数：3; 导出分析报告; 相关作者：陈松灿王哲贾新华更多>>; 相关机构：南京航空航天大学天津市肿瘤医院更多>>; 相关期刊：《Transactions of Nanjing University of Aeronautics and Astronautics》《Intelligent Automation & Soft Computing》《Journal of Modern Physics》《光学精密工程》更多>>; 相关基金：国家自然科学基金江苏省自然科学基金更多>>

Spatial Attention Integrated EfficientNet Architecture for Breast Cancer Classification with Explainable AI: 《Computers, Materials & Continua》2024年第9期5029-5045,共17页Sannasi Chakravarthy Bharanidharan Nagarajan Surbhi Bhatia Khan Vinoth Kumar Venkatesan Mahesh Thyluru Ramakrishna Ahlam AlMusharraf Khursheed Aurungzeb; supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project Number(PNURSP2024R432),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.; Breast cancer is a type of cancer responsible for higher mortality rates among women.The cruelty of breast cancer always requires a promising approach for its earlier detection.In light of this,the proposed research l...; 关键词：EfficientNet MAMMOGRAMS breast cancer Explainable AI deep-learning transfer learning

Mammogram Classification with HanmanNets Using Hanman Transform Classifier: 《Journal of Modern Physics》2024年第7期1045-1067,共23页Jyoti Dabass Madasu Hanmandlu Rekha Vig Shantaram Vasikarla; Breast cancer is a deadly disease and radiologists recommend mammography to detect it at the early stages. This paper presents two types of HanmanNets using the information set concept for the derivation of deep infor...; 关键词：MAMMOGRAMS ResNet 18 Hanman Transform Classifier ABNORMALITY DIAGNOSIS VGG-16 AlexNet GoogleNet HanmanNets

Enhanced Wolf Pack Algorithm (EWPA) and Dense-kUNet Segmentation for Arterial Calcifications in Mammograms: 《Computers, Materials & Continua》2024年第2期2207-2223,共17页Afnan M.Alhassan; Breast Arterial Calcification(BAC)is a mammographic decision dissimilar to cancer and commonly observed in elderly women.Thus identifying BAC could provide an expense,and be inaccurate.Recently Deep Learning(DL)method...; 关键词：Breast arterial calcification cardiovascular disease semantic segmentation transfer learning enhanced wolf pack algorithm and modified support vector machine

Hyperparameter Tuned Deep Hybrid Denoising Autoencoder Breast Cancer Classification on Digital Mammograms: 《Intelligent Automation & Soft Computing》2023年第6期2879-2895,共17页Manar Ahmed Hamza; This project was supported by the Deanship of Scientific Research at Prince SattamBin Abdulaziz University under research Project#(PSAU-2022/01/20287).; Breast Cancer(BC)is considered the most commonly scrutinized can-cer in women worldwide,affecting one in eight women in a lifetime.Mammogra-phy screening becomes one such standard method that is helpful in identifying...; 关键词：Digital mammograms breast cancer classification computer-aided diagnosis deep learning metaheuristics

Simply Fine-Tuned Deep Learning-Based Classification for Breast Cancer with Mammograms: 《Computers, Materials & Continua》2022年第12期4677-4693,共17页Vicky Mudeng Jin-woo Jeong Se-woon Choe; This research was supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)[NRF-2019R1F1A1062397,NRF-2021R1F1A1059665];Brain Korea 21 FOUR Project(Dept.of IT Convergence Engineering,Kumoh National Institute of Technology);This paper was supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)[P0017123,The Competency Development Program for Industry Specialist].; A lump growing in the breast may be referred to as a breast mass related to the tumor.However,not all tumors are cancerous or malignant.Breast masses can cause discomfort and pain,depending on the size and texture of ...; 关键词：Medical image analysis convolutional neural network MAMMOGRAM breast masses breast cancer

LBP–Bilateral Based Feature Fusion for Breast Cancer Diagnosis: 《Computers, Materials & Continua》2022年第11期4103-4121,共19页Yassir Edrees Almalki Maida Khalid Sharifa Khalid Alduraibi Qudsia Yousaf Maryam Zaffar Shoayea Mohessen Almutiri Muhammad Irfan Mohammad Abd Alkhalik Basha Alaa Khalid Alduraibi Abdulrahman Manaa Alamri Khalaf Alshamrani Hassan A.Alshamrani; The authors would like to acknowledge the support of the Deputy for Research and Innovation—Ministry of Education,Kingdom of Saudi Arabia for funding this research through a project grant code(NU/IFC/ENT/01/009)under the institutional Funding Committee at Najran University,Kingdom of Saudi Arabia.; Since reporting cases of breast cancer are on the rise all over the world.Especially in regions such as Pakistan,Saudi Arabia,and the United States.Efficient methods for the early detection and diagnosis of breast can...; 关键词：Artificial intelligence machine learning breast cancer MAMMOGRAMS supervised learning CLASSIFICATION feature fusion

Cognitive Computing-Based Mammographic Image Classification on an Internet of Medical: 《Computers, Materials & Continua》2022年第8期3945-3959,共15页Romany F.Mansour Maha M.Althobaiti; We deeply acknowledge Taif University for supporting this study through Taif University Researchers Supporting Project Number(TURSP-2020/328),Taif University,Taif,Saudi Arabia.; Recently,the Internet of Medical Things(IoMT)has become a research hotspot due to its various applicability in medical field.However,the data analysis and management in IoMT remain challenging owing to the existence o...; 关键词：Cognitive computing breast cancer digital mammograms image processing internet of medical things smart healthcare

Automated Deep Learning Empowered Breast Cancer Diagnosis UsingBiomedical Mammogram Images被引量：3: 《Computers, Materials & Continua》2022年第6期4221-4235,共15页JoséEscorcia-Gutierrez Romany F.Mansour Kelvin Belen Javier Jiménez-Cabas Meglys Pérez Natasha Madera Kevin Velasquez; Biomedical image processing is a hot research topic which helps to majorly assist the disease diagnostic process.At the same time,breast cancer becomes the deadliest disease among women and can be detected by the use ...; 关键词：Breast cancer digital mammograms deep learning wavelet neural network Resnet 34 disease diagnosis

Modified Differential Box Counting in Breast Masses for Bioinformatics Applications: 《Computers, Materials & Continua》2022年第2期3049-3066,共18页S.Sathiya Devi S.Vidivelli; Breast cancer is one of the common invasive cancers and stands at second position for death after lung cancer.The present research work is useful in image processing for characterizing shape and gray-scale complexity....; 关键词：Breast cancer computer-aided diagnosis K-nearest neighbour MAMMOGRAMS modified differential box counting support vector machine

Machine Learning Enabled Early Detection of Breast Cancer by Structural Analysis of Mammograms被引量：4: 《Computers, Materials & Continua》2021年第4期641-657,共17页Mavra Mehmood Ember Ayub Fahad Ahmad Madallah Alruwaili Ziyad AAlrowaili Saad Alanazi Mamoona Humayun Muhammad Rizwan Shahid Naseem Tahir Alyas; Clinical image processing plays a signicant role in healthcare systems and is currently a widely used methodology.In carcinogenic diseases,time is crucial;thus,an image’s accurate analysis can help treat disease at a...; 关键词：Image processing TUMOR segmentation DILATION EROSION machine learning classication support vector machine adaptive neuro-fuzzy inference system

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