Breast mass lesion area detection method based on an improved YOLOv8 model by Yihua Lan, Yingjie Lv, Jiashu Xu, Yingqi Zhang, Yanhong Zhang

“…In this paper, two improved You Only Look Once version 8 (YOLOv8) models, the YOLOv8-GHOST and YOLOv8-P2 models, are proposed to address the difficulty of distinguishing lesions from normal tissues in mammography images. The YOLOv8-GHOST model incorporates GHOSTConv and C3GHOST modules into the original YOLOv8 model to capture richer feature information while using only 57% of the number of parameters required by the original model. …”
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Clinical, Radiological and Pathological evaluation of breast lumps: a crosssectional study from a tertiary care hospital of north-east India by Kaushik Datta, Kaushik Datta, Susmita Dutta

“…Each patient underwent clinical examination, imaging (mammography or ultrasonography based on age), and Fine Needle Aspiration Cytology (FNAC) for preliminary diagnosis. …”
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A New GLLD Operator for Mass Detection in Digital Mammograms by N. Gargouri, A. Dammak Masmoudi, D. Sellami Masmoudi, R. Abid

“…We have used 1000 regions of interest (ROIs) obtained from the Digital Database for Screening Mammography (DDSM). The area under the curve of the corresponding approach has been found to be Az=0.95 for the mass detection step. …”
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A Review on Automatic Mammographic Density and Parenchymal Segmentation by Wenda He, Arne Juette, Erika R. E. Denton, Arnau Oliver, Robert Martí, Reyer Zwiggelaar

“…Within computer aided mammography, automatic mammographic tissue segmentation methods have been developed for estimation of breast tissue composition to facilitate mammographic risk assessment. …”
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A Nonpalpable Nodule in Ectopic Axillary Breast Tissue: Consider Phyllodes Tumor by Eva Ruvalcaba-Limón, Verónica Bautista-Piña, Julio Ramírez-Bollas, Ruby Espejo-Fonseca, Sergio Rodríguez-Cuevas

“…We present a rare case of an asymptomatic 43-year-old woman with an axillary nodule which was identified during screening mammography within ectopic axillary breast tissue, initially considered as a suspicious lymph node. …”
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Awareness of Breast Cancer Screening among the Medical and General Population of the North Region of Cameroon by Richard Tagne Simo, Erika Myriam Baiguerel, Armel Hervé Nwabo Kamdje, Paul Faustin Seke Etet, Mohamadou Ahmadou, Charlette Nangue, Phelix Bruno Telefo

“…Ignorance was the main reason preventing the performance of breast self-examination, and the high cost prevents individuals from going for mammography. The highest awareness rate was observed in employed women with higher level of education. …”
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Development of neighborhood networks in suburban areas for persuading women to adhere to breast cancer screening programs by Towhid Babazadeh, Zeinab Javadivala, Fatemeh Yaghoubi, Shayesteh Shirzadi, Hava Özkan, Hamid Allahverdipour

“…Results: After the intervention, the results showed an improvement in the intention of referring to mammography centers, perceived benefits of early diagnosis of breast cancer, receiving social support, breast cancer screening behaviors, and a decrease in barriers to early diagnosis of breast cancer compared to the control group (P<0.05). …”
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Evaluation of a Surgical Navigation System for Localization and Excision of Nonpalpable Lesions in Breast and Axillary Surgery by Kjirsten A. Carlson, Cristina Checka, Kelly K. Hunt, Jennifer Jung, Christian Bridges, Puneet Singh, Ana Refinetti, Tanya Moseley, Frances Perez, Cody Mayo, Nina Tamirisa

“…The bracketed cases were each localized with 2 SmartClips. Mammography and ultrasound were used (n = 8 and n = 19, respectively) to place the SmartClips. …”
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Smoking is associated with higher risk of contracting bacterial infection and pneumonia, intensive care unit admission and death. by Karl Stattin, Mikael Eriksson, Robert Frithiof, Rafael Kawati, Douglas Crockett, Michael Hultström, Miklos Lipcsey

“…<h4>Method and findings</h4>Participants were drawn from the population-based Cohort of Swedish Men and the Swedish Mammography Cohort, which are representative of the Swedish population. …”
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Breast Cancer Knowledge and Practice of Breast Self-Examination among Female University Students, Gaza by Samira S. Abo Al-Shiekh, Mohamed Awadelkarim Ibrahim, Yasser S. Alajerami

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Rosai-Dorfman Disease Presenting With FDG-Avid Breast Masses and Axillary Lymph Nodes on PET-CT in a Patient With Recent Diagnosis of Endometrial Carcinoma: A Diagnostic Dilemma by Jennifer Kudja-Rennick, Pai Raghav, Cedric Pluguez-Turull, Katherine Drews-Elger, Cristina Hoyos

“…Subsequent dedicated breast imaging with bilateral diagnostic mammography with tomosynthesis and bilateral complete breast ultrasound were suspicious for malignancy detecting bilateral breast masses and axillary lymphadenopathy corresponding to the FDG-avid findings on PET/CT. …”
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Enhancing Early Breast Cancer Detection with Infrared Thermography: A Comparative Evaluation of Deep Learning and Machine Learning Models by Reem Jalloul, Chethan Hasigala Krishnappa, Victor Ikechukwu Agughasi, Ramez Alkhatib

“…Early detection is crucial, particularly for younger women, as traditional screening methods like mammography often struggle with accuracy in cases of dense breast tissue. …”
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Role of Ultrasound-guided Tru-cut Needle Biopsy in the Diagnosis of Suspicious Breast Masses at South Valley University Hospitals by Ghada M. Abd ElRazik, Dalia Besharii Hamada, Mohammed M. Mubarak, Ahmed M. Khalaf-Awad

“…Background: The global increase in breast cancer emphasizes early detection through screening and improved molecular subtype understanding. Mammography and ultrasound identify non-palpable lesions, and core needle biopsy aids in definitive surgery planning. …”
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External validation of a multivariable prediction model for positive resection margins in breast-conserving surgery by Irina Palimaru Manhoobi, Julia Ellbrant, Pär-Ola Bendahl, Søren Redsted, Anne Bodilsen, Trine Tramm, Peer Christiansen, Lisa Rydén

“…We found weak evidence for an association between increased preoperative breast density on mammography and positive resection margins after BCS (p = 0.027), but the AUC of the model did not improve, when mammographic breast density was included as an additional variable in the model.…”
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Unexpected encounters: The surprising link between ovarian cancer and axillary lymphadenopathy by Marina Balbino, Federica Masino, Manuela Montatore, Francesca Anna Carpagnano, Giuseppe Guglielmi

“…Given the clinical presentation and suspicion of a Cancer of Unknown Primary (CUP) syndrome, the patient underwent imaging examination, such as ultrasound of the axilla, mammography, and breast magnetic resonance imaging. …”
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Prospects of the vacuum aspiration biopsy in terms of making the diagnoosis of malignant neoplasms of the mammary glands in patients categorised 3 and 4 according to BIRADS scale by S. S. Skurikhin, I. A. Bolotin, O. L. Chagunava, A. B. Guslev

“…The ultrasound examination was mandatory for all the patients and the 17 % (n = 7) was combined with mammography. Invasive diagnostics of tissue material from tumors subject to VAB was previously performed in 5 patients. …”
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Measurement of breast artery calcification using an artificial intelligence detection model and its association with major adverse cardiovascular events. by Suzanne J Rose, Josette Hartnett, Zachary J Estep, Daniyal Ameen, Shweta Karki, Edward Schuster, Rebecca B Newman, David H Hsi

“…This retrospective study included women who underwent chest computed tomography (CT) within one year of mammography. T-test assessed the associations between MACE and variables of interest (BAC versus MACE, CAC versus MACE). …”
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Level of Awareness, Screening Practices, and Self-Detection Among Breast Cancer Patients by Ahmed Nawzad Hassan, Mustafa Saber Al-Attar

“…The screening methods used prior to the diagnosis were: breast self-exam (n=9); ultrasonography (n=8), and only two had mammography. Detecting the case for the first time, 68.7% of the cases were detected by chance or accidentally, and 31.3% were detected by physicians. …”
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Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset by Gennady Chuiko, Denys Honcharov

“…Various medical imaging techniques, such as mammography, computed tomography, histopathology, and ultrasound, are contemporary approaches for detecting and classifying breast cancer. …”
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Enhanced Detection of Residual Breast Cancer Post-Excisional Biopsy: Comparative Analysis of Contrast-Enhanced MRI with and Without Diffusion-Weighted Imaging by Han Song Mun, Bong Joo Kang, Sung Hun Kim, Ga Eun Park

“…The apparent diffusion coefficient (ADC) values were measured, and the diagnostic outcomes of CE-MRI, CE-MRI with DWI, mammography (MG), and ultrasound (US) were compared with clinical and histopathological data. …”
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