Yie Wai Leong

Publications

• Research Article   
  Deep Hybrid Learning with CNN and Transformer for Lung Cancer Detection and Grading in Histological Images
  Author(s): Pragati Patharia, Prabira Kumar Sethy*, Anita Khanna, Neepa Biswas, Santi Kumari Behera, Aziz Nanthaamornphong and Yie Wai Leong*
  
  Histopathological evaluation of biopsy samples plays a crucial role in the diagnosis of lung carcinoma and subsequent treatment decisions. Automated analysis of biopsy samples can assist the pathologists in grading lung cancer using multi- magnification microscopy images acquired at different magnifications, providing both local and global information. In this paper, we introduce a hierarchical end-to-end deep learning framework called Multi-Resolution CNN-Transformer Network (MRCT-Net), for accurate classification and grading of lung cancer using multi-magnification (20× and 40×) histopathology images. To obtain multi-scale representations, we construct image pyramids of three resolutions (224 × 224; 112 × 112; and 56 × 56), which are fed into three lightweight CNN encoders, EfficientNetV2, EfficientNetV2-Tiny, and ConvNet-Tiny architectures, respectivel.. Read More»
  

  Abstract PDF