Deep learning for image-based cancer detection and diagnosis - A survey
By Zilong Hu, Jinshan Tang, Ziming Wang, Kai Zhang, Ling Zhang, Qingling Sun. Pattern Recognition, 2018
456 citations recorded by the source corpus.
Abstract In this paper, we aim to provide a survey on the applications of deep learning for cancer detection and diagnosis and hope to provide an overview of the progress in this field. In the survey, we firstly provide an overview on deep learning and the popular architectures used for cancer detection and diagnosis. Especially we present four popular deep learning architectures, including convolutional neural networks, fully convolutional networks, auto-encoders, and deep belief networks in the survey. Secondly, we provide a survey on the studies exploiting deep learning for cancer detection and diagnosis. The surveys in this part are organized based on the types of cancers. Thirdly, we provide a summary and comments on the recent work on the applications of deep learning to cancer detection and diagnosis and propose some future research directions.
Subfields: Artificial Intelligence, Neurology, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/d895b0e0d8f664b52cfd9a8e1e7df071ca45fd43
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In Artificial Intelligence
Citations in the corpus
- Deep Learning for Time Series Forecasting: A Survey (2020, unknown): “196,202 However, time series prediction using deep-learning models is not very widespread as time series are generally short in this field, along with the high computational cost involved in recurrent network training.”
- The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges (2019, methodology): “Recently, the image biomarker standardization initiative (IBSI) towards seeking standardization for improved reproducibility of high-throughput imaging analyses mainly focused on radiomics was proposed [69].”
- Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning (2022, background): “Lee [15], who serves several young patients with skin cancer.”
- Deep Learning and Medical Diagnosis: A Review of Literature (2018, unknown): “Without a doubt deep learning application in the medical field will further develop as it has already achieved remarkable results in medical image analysis [66], and more precisely, in image-based cancer detection and diagnosis [67].”