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cs.CV2025
Evaluating Deep Learning Models for African Wildlife Image Classification: From DenseNet to Vision Transformers
Lukman Jibril Aliyu, Umar Sani Muhammad, Bilqisu Ismail +5
Wildlife populations in Africa face severe threats, with vertebrate numbers declining by over 65% in the past five decades. In response, image classification using deep learning ha…
cs.CV2024
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Kamorudeen A. Amuda, Almustapha A. Wakili
This study introduces a federated learning-based approach to predict HER2 status from hematoxylin and eosin (HE)-stained whole slide images (WSIs), reducing costs and speeding up t…