Zhonghua bing li xue za zhi = Chinese journal of pathology
Jan 8, 2022
With the technological progresses and applications of human genome sequencing, bioinformatics analysis and data mining, and molecular pathology and artificial intelligence-assisted pathological diagnosis, the development of clinical medicine is movin...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Oct 8, 2021
To explore the performance of the attention-multiple instance learning (MIL) framework, an attention fusion network-based MIL, in the automated diagnosis of chronic gastritis with multiple indicators. A total of 1 015 biopsy cases of gastritis diag...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Jun 8, 2021
To investigate the value of deep learning in classifying non-inflammatory aortic membrane degeneration. Eighty-nine cases of non-inflammatory aortic media degeneration diagnosed from January to June 2018 were collected at Beijing Anzhen Hospital, C...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Apr 8, 2021
To develop a convolutional neural network based model for assisting pathological diagnoses on thyroid liquid-based cytology specimens. Seven-hundred thyroid TCT slides were collected, scanned for whole slide imaging (WSI), and divided into training...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Apr 8, 2021
To propose a method of cervical cytology screening based on deep convolutional neural network and compare it with the diagnosis of cytologists. The deep segmentation network was used to extract 618 333 regions of interest (ROI) from 5, 516 cytologi...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Apr 8, 2021
To study the association between histopathological features and HER2 overexpression/amplification in breast cancers using deep learning algorithms. A total of 345 HE-stained slides of breast cancer from 2012 to 2018 were collected at the China-Japa...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Nov 8, 2020
To establish an artificial intelligence (AI)-assisted diagnostic system for lung cancer via deep transfer learning. The researchers collected 519 lung pathologic slides from 2016 to 2019, covering various lung tissues, including normal tissues, ade...