Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images by Ahila A (18394806)

“…Numerical analysis revealed that the proposed work can yield higher classification accuracy when compared to the prevailing methods and thereby proves its potential in effective breast tumor detection and classification. The proposed GWO-WNN method (98%) gives better accuracy than other methods like SOM-SVM (87.5), LOFA-SVM (93.62%), MBA-RF (96.85%), and BAS-BPNN (96.3%)</p><p> </p></div><h2>Other Information</h2> <p> Published in: Frontiers in Oncology<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fonc.2022.834028" target="_blank">https://dx.doi.org/10.3389/fonc.2022.834028</a></p>…”

Characterizing the Protein Coding RNAs (mRNA) and Long Non-Coding RNAs (LncRNAs) in Chemo Resistant Triple Negative Breast Cancer by Ahmed Mahmoud Mahmoud Mohamed Kardousha (19926096)

“…Although, death rates due to BC have consistently decreased over time, TNBC still poses a challenge due to its poor prognosis, high rates of relapse and resistance to chemotherapy. …”

Temporal patterns of cancer burden in Asia, 1990–2019: a systematic examination for the Global Burden of Disease 2019 study by Rajesh, Sharma

“…Tracheal, bronchus, and lung cancer (both sexes), breast cancer (among females), colon and rectum cancer (both sexes), stomach cancer (both sexes) and prostate cancer (among males) were among top-5 cancers in most Asian countries in terms of ASIR and ASMR in 2019 and cancers of liver, stomach, hodgkin lymphoma and esophageal cancer posted the most significant decreases in age-standardized rates between 1990 and 2019. …”
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