RETRACTED: Cancer detection using deep learning techniques (Retracted Article)

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dc.authoridJAMIL, AKHTAR/0000-0002-2592-1039
dc.contributor.authorAlkurdi, Dunya Ahmed
dc.contributor.authorIlyas, Muhammad
dc.contributor.authorJamil, Akhtar
dc.date.accessioned2025-02-06T17:58:24Z
dc.date.available2025-02-06T17:58:24Z
dc.date.issued2024
dc.departmentAltınbaş Üniversitesien_US
dc.description.abstractBreast cancer has become the most common form of cancer in world recently having overtaken cervical cancer in urban cities. Immense research has been carried out on breast cancer and several automated machines for detection have been formed, however, they are far from perfection and medical assessments need more reliable services. Computer Assisted Diagnostics programs have been developed over the past 2 decades to help radiologists interpret mammogram screening. Deep convolutional neural networks (CNN), which have surpassed human output since 2012, have been an immense success in image recognition. Deep CNNs will revolutionize the analysis of medical images. We propose a method for breast cancer detection based on Faster R-CNN, the most common frameworks for object detection. In a non-human interference mammogram, the device detects and categorizes malignant or benign lesions. The method proposed sets the current status of the INbreast database public classification scheme, AUC = 0.95. In the digital mammography challenge DREAM with AUC = 0.85, the method mentioned here was second. When the device is used as a sensor, the accuracy of the INbreast data set is extremely low with very false positive image points.en_US
dc.identifier.doi10.1007/s12065-021-00635-5
dc.identifier.endpage13en_US
dc.identifier.issn1864-5909
dc.identifier.issn1864-5917
dc.identifier.issueSUPPL 1en_US
dc.identifier.scopus2-s2.0-85109285551
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage13en_US
dc.identifier.urihttps://doi.org/10.1007/s12065-021-00635-5
dc.identifier.urihttps://hdl.handle.net/20.500.12939/5231
dc.identifier.volume17en_US
dc.identifier.wosWOS:000669159700001
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofEvolutionary Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250206
dc.subjectConvolutional neural networksen_US
dc.subjectDeep learningen_US
dc.subjectMammographyen_US
dc.subjectBreast cancer screeningen_US
dc.subjectBreast densityen_US
dc.titleRETRACTED: Cancer detection using deep learning techniques (Retracted Article)en_US
dc.typeArticle; Retracted Publicationen_US

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