Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks
نویسندگان
چکیده
منابع مشابه
Lung Nodule Classification Based on Deep Convolutional Neural Networks
Lung nodule classification is one of the main topics on computer-aided diagnosis (CAD) systems for detecting nodules. Although convolutional neural networks (CNN) have been demonstrated to perform well on many tasks, there are few explorations of their use for classifying lung nodules. In this work, we present a method for classifying lung nodules based on CNNs. Training is performed by balanci...
متن کاملHolistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in precise clinical decision making of the extent and nature of the diseases. Therefore, it is important for developing automated pulmonary computer-aided detection systems. Conventionally, this task relies on ...
متن کاملPrognostic Implication of Predominant Histologic Subtypes of Lymph Node Metastases in Surgically Resected Lung Adenocarcinoma
The International Association for the Study of Lung Cancer, American Thoracic Society, and European Respiratory Society (IASLC/ATS/ERS) proposed a new classification for lung adenocarcinoma (AD) based on predominant histologic subtypes, such as lepidic, papillary, acinar, solid, and micropapillary; this system reportedly reflects well outcomes of patients with surgically resected lung AD. Howev...
متن کاملImageNet Classification with Deep Convolutional Neural Networks
The intended goal of the experiments was to create a deep, convolutional network that uses supervised learning to achieve better (lower) error rates than the rates previously observed, to identify images, on a highly challenging dataset. The parameters used for judging if the CNN is able to recognise the object is given by “Top-1” and “Top-5” predictions made – that is the top prediction made, ...
متن کاملScene Classification with Deep Convolutional Neural Networks
The use of massive datasets like ImageNet and the revival of Convolutional Neural Networks (CNNs) for learning deep features has significantly improved the performance of object recognition. However, performance at scene classification has not achieved the same level of success since there is still semantic gap between the deep features and the high-level context. In this project we proposed a ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2019
ISSN: 2045-2322
DOI: 10.1038/s41598-019-40041-7