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Browsing Faculty of Science and Information Technology by Subject "Cancer Diagnosis"

Browsing Faculty of Science and Information Technology by Subject "Cancer Diagnosis"

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  • Atikuzzaman, Md. (Daffodil International University, 2024-01-22)
    Finding tumor areas on breast ultrasonography pictures has long been a fascinating subject. The complex architecture of breast and the presence of noise in ultrasound images sometimes make it impossible for traditional ...
  • Islam, Md Saykot (Daffodil International University, 2024-01-01)
    Early and accurate cancer detection is crucial for improving patient outcomes from this lethal disease, but traditional methods often lack sensitivity or specificity. Machine learning algorithms, particularly Random ...
  • Patwary, Md Abdus Salam (Daffodil International University, 2024-01-01)
    Physical illnesses like lung cancer have become more common nowadays. The world nowadays is aware of the subject. The disease known as lung cancer affects most individuals. A measure of the sickness is the variations in ...
  • Dibosh, Arnob Ghosh (Daffodil International University, 2024-01-01)
    Classification of medical images is essential to the diagnosis of many diseases. This paper presents a thorough analysis of multimodal deep learning fusion methods for problems involving the classification of medical ...

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