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Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network

机译：使用深卷积神经网络预测食管癌中食管癌的侵袭性组织病理学特征

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Joe Chao-Yuan Yeh; Wei-Hsiang Yu; Cheng-Kun Yang; Ling-I Chien; Ko-Han Lin; Wen-Sheng Huang; Po-Kuei Hsu;
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1. Effect of Data Augmentation of F-18-Florbetaben Positron-Emission Tomography Images by Using Deep Learning Convolutional Neural Network Architecture for Amyloid Positive Patients [J] . Yoon Hyun Jin, Jeong Young Jin, Kang Do-Young, Journal of the Korean Physical Society . 2019,第8期

机译：F-18 - 浮动幅度辐射断层扫描图像对淀粉样阳性患者的深度学习卷积神经网络架构的影响
2. Serial imaging using [18F]Fluorodeoxyglucose positron emission tomography and histopathologic assessment in predicting survival in a population of surgically resectable distal oesophageal and gastric adenocarcinoma following neoadjuvant therapy [J] . Manoharan Varun, Lee Soon, Chong Shanley, Annals of nuclear medicine . 2017,第4期

机译：使用[18F]氟脱氧葡萄糖正电子发射断层扫描和组织病理学评估在新辅助治疗后预测手术可转移远端食管和胃腺癌群中的存活中的组织病理学评估
3. Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography [J] . Pierre Pinochet, Florian Eude, Stéphanie Becker, Frontiers in Medicine . 2021,第a期

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4. An Efficient Deep Neural Network for Classification in Esophageal Cancer Histopathological Images (CNN+LSTM) [C] . Jing Ge, Xie Ying, Di Wang International Conference on Graphics and Image Processing . 2019

机译：一种高效的深度神经网络，用于食管癌组织病理学图像（CNN + LSTM）
5. A Bayesian Convolutional Neural Network Based Classifier to Detect Breast Cancer from Histopathological Images and Uncertainty Quantification [D] . ?Khairnar, Pushkar 2020

机译：基于贝叶斯卷积神经网络的分类器，检测组织病理学图像和不确定性量化的乳腺癌
6. Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network [O] . Joe Chao-Yuan Yeh, Wei-Hsiang Yu, Cheng-Kun Yang, 2021

机译：使用深卷积神经网络预测食管癌中食管癌的侵袭性组织病理学特征
7. Serial imaging using 18FFluorodeoxyglucose positron emission tomography and histopathologic assessment in predicting survival in a population of surgically resectable distal oesophageal and gastric adenocarcinoma following neoadjuvant therapy [O] . 2017

机译：18F氟脱氧葡萄糖正电子发射断层扫描和组织病理学评估的连续成像预测新辅助治疗后可手术切除的远端食管和胃腺癌患者的生存

Predicting aggressive histopathological features in esophageal cancer with positron emission tomography using a deep convolutional neural network

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