4 papers
Efficient Breast and Ovarian Cancer Classification via ViT-Based Preprocessing and Transfer Learning
Richa Rawat, Faisal Ahmed
Cancer is one of the leading health challenges for women, specifically breast and ovarian cancer. Early detection can help improve the survival rate through timely intervention and…
RepViT-CXR: A Channel Replication Strategy for Vision Transformers in Chest X-ray Tuberculosis and Pneumonia Classification
Faisal Ahmed
Chest X-ray (CXR) imaging remains one of the most widely used diagnostic tools for detecting pulmonary diseases such as tuberculosis (TB) and pneumonia. Recent advances in deep lea…
HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis
Faisal Ahmed
Accurate and scalable cancer diagnosis remains a critical challenge in modern pathology, particularly for malignancies such as breast, prostate, bone, and cervical, which exhibit c…
Transfer Learning with EfficientNet for Accurate Leukemia Cell Classification
Faisal Ahmed
Accurate classification of Acute Lymphoblastic Leukemia (ALL) from peripheral blood smear images is essential for early diagnosis and effective treatment planning. This study inves…