Breast cancer is a type of cancer that is common in women worldwide, which emphasises its significance in identification with preventative treatment methods. The invented Photonic Crystal Fibre (PCF) exhibits outstanding performance in detecting Breast Cancer. The suggested model of the authors includes Hybrid layout within clad surface alongside Square Core. Introduced PCF detector exhibits max Relative Sensitivity (RS) of 96.82% as well 96.74% for breast cancer cell MCF-7 as well MDA-MB-231 correspondingly. The authors also investigated the Confinement Loss of 1.642 x 10-10 dB/m, 2.461 x 10-10 dB/m with Effective Material Loss of 0.0473, 0.0565 cm-1 for the mentioned cells. Increased outcomes, customised therapy, plus quick action are made possible by swift identification in breast carcinoma. Timely malignancy detection reduces requirements to severe therapy by enabling simpler medicines. Additionally, making continuous illness detection easier, improving patient treatment. Furthermore, reliable evaluation contributes for investigating advancements that improve worldwide recognition as well as therapy alternatives. The introduced PCF Perhaps crucial in quick identification of these deadly cells as it has an extraordinary sensing ability. In conclusion, it has numerous possibilities in the healthcare sector.
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McMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Abdullah, Peri
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Alabousi, Mostafa
Ramadan, Sherif
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Ramadan, Sherif
Zawawi, Ismaiel
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Zawawi, Ismaiel
Zawawi, Mayar
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Zawawi, Mayar
Bhogadi, Yasovineeth
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Bhogadi, Yasovineeth
Freitas, Vivianne
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Univ Toronto, Dept Radiol, Joint Dept Med Imaging, Toronto, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Freitas, Vivianne
Patlas, Michael N.
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McMaster Univ, Dept Radiol, Hamilton, ON, Canada
Hamilton Gen Hosp, Dept Radiol, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
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McMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Abdullah, Peri
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Alabousi, Mostafa
Ramadan, Sherif
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Ramadan, Sherif
Zawawi, Ismaiel
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Zawawi, Ismaiel
Zawawi, Mayar
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Zawawi, Mayar
Bhogadi, Yasovineeth
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McMaster Univ, Michael DeGroote Sch Med, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Bhogadi, Yasovineeth
Freitas, Vivianne
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h-index: 0
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Univ Toronto, Dept Radiol, Joint Dept Med Imaging, Toronto, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada
Freitas, Vivianne
Patlas, Michael N.
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McMaster Univ, Dept Radiol, Hamilton, ON, Canada
Hamilton Gen Hosp, Dept Radiol, Hamilton, ON, CanadaMcMaster Univ, Canadian Res Data Ctr Network, Hamilton, ON, Canada