id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-202184-hh7hugqi	Wang, Jun	Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network	2020-10-10		.txt	text/plain	5291	319	43	In this work, we propose three strategies to improve the capability of EfficientNet, including developing a cropping method called Random Center Cropping (RCC) to retain significant features on the center area of images, reducing the downsampling scale of EfficientNet to facilitate the small resolution images of RPCam datasets, and integrating Attention and Feature Fusion mechanisms with EfficientNet to obtain features containing rich semantic information. This work has three main contributions: (1) To our limited knowledge, we are the first study to explore the power of EfficientNet on MBCs classification, and elaborate experiments are conducted to compare the performance of EfficientNet with other state-of-the-art CNN models, which might offer inspirations for researchers who are interested in image-based diagnosis using DL; (2) We propose a novel data augmentation method RCC to facilitate the data enrichment of small resolution datasets; (3) All of our four technological improvements boost the performance of original EfficientNet. The best accuracy and AUC achieve 97.96% and 99.68%, respectively, confirming the applicability of utilizing CNN-based methods for BC diagnosis.	./cache/cord-202184-hh7hugqi.txt	./txt/cord-202184-hh7hugqi.txt